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ChatGLM
Z.ai
·Released on Feb 11, 2026

GLM-5 API Benchmarks, Pricing & Provider Data

Compare GLM-5 with another model

Choose a model to open its comparison page.

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LLM

GLM-5 benchmark, API pricing, and provider data cover 159 API providers, with prices starting at $0.010/request. GLM-5 free API options are available from 3 providers. The page also shows measured API speed and first-token latency.

Zhipu GLM-5 is Zhipu flagship GLM series model with enhanced reasoning, agent capabilities, and strong performance on Chinese enterprise and coding scenarios.

Quality
#44of 127
63.0
LMSpeed score
Speed
#113of 139
46char/s
22.00 s
Cost
#100of 163
$0.010/ 1M · 8:1 in:out
$0.0016 in · $0.0084 out

Category Performance

Observed-capability estimates with uncertainty reported separately from independent benchmark families.

Coverage
8 / 8
Methodology
V3.0
Category PerformanceObserved-capability estimates with uncertainty reported separately from independent benchmark families.Agents42.9Coding53.4Reasoning49.5Knowledge43.3Math51.6Multilingual44Multimodal50.9Instruction following52.7
#1Coding53.4Rated·Global rank #25·4/4 Measured dimensions
80% interval: 47.4–59.4
code generation51.9
scicode · scicode
repository engineering47.3
react_native_bench · react_native_evals / swe_pro · swe_pro / vibecode · vibe_code_bench
debugging testing57.7
swe_multilingual · benchlm_coding_swe_multilingual / swe_rebench · swe_rebench / swe_verified · swe_verified
tooling quality56.8
terminalbench · terminal_bench_hard
#2Instruction following52.7Estimated·2/4 Measured dimensions
80% interval: 40.7–64.6
constraint following51.5
ifeval · ifeval
structured outputPrior only
novel instruction generalization53.8
ifbench · aa_if_bench
long multiturn instructionPrior only
#3Math51.6Estimated·3/4 Measured dimensions
80% interval: 42.5–60.7
foundational mathPrior only
competition math59.3
aime · aime2026 / hmmt · hmmt_feb2025 / hmmt · hmmt_feb2026 / hmmt · hmmt_nov2025
proof frontier48.2
frontiermath · frontier_math_v2_tier4 / frontiermath · frontier_math_v2_tiers13
applied tool math47.2
mmanswer · mm_answer_bench
#4Multimodal50.9Provisional·1/4 Measured dimensions
80% interval: 34.9–67.0
perception ocrPrior only
document spatialPrior only
visual reasoning50.9
benchlm_category_multimodal · benchlm_category_multimodal_grounded
video actionPrior only
#5Reasoning49.5Rated·Global rank #36·3/4 Measured dimensions
80% interval: 41.3–57.6
abstract logicPrior only
scientific causal47.9
critpt · critpt / gpqa · gpqa / hle · hle
multistep constraints57
mmlu_pro · mmlu_pro
evidence verification43.6
ai_needle · ai_needle / lcr · lcr / longbench · long_bench_v2
#6Multilingual44Estimated·2/4 Measured dimensions
80% interval: 31.8–56.2
cross language understanding39.6
nova · nova63
multilingual generationPrior only
reasoning transfer48.5
mmlu_prox · mmlu_pro_x
low resource robustnessPrior only
#7Knowledge43.3Provisional·1/4 Measured dimensions
80% interval: 27.0–59.5
broad knowledgePrior only
professional knowledge43.3
supergpqa · super_gpqa
factualityPrior only
retrieval open bookPrior only
#8Agents42.9Rated·Global rank #48·4/4 Measured dimensions
80% interval: 37.3–48.6
planning51.1
deep_planning · gert_labs
tool use37.6
mcp_atlas · mcp_atlas / mcp_tasks · mcp_tasks / tau · tau2_bench / tau · tau3_bench / toolathlon · toolathlon
environment execution42.3
terminalbench · benchlm_agentic_terminal_bench2 / wide_research · wide_research
recovery reliability40.7
apex_agents · apex_agents_aa / claw_eval · claw_eval / cyber_gym · cyber_gym

Specifications

Input and output token limits for this model, plus how it ranks on long-context understanding.

INPUT
202.8Ktokens
≈ 243.3 pages of text
OUTPUT
202.8Ktokens
8K128K1M4M
202.8K

Features

Technical Details

Input

Rankings

Excels at

It's decent at

Falls behind in

Detailed scores

Updated: Jul 17, 2026

Overall

1 metric

Overall score63.0#44 / 127
Benchmark
LMSpeed rank
Score
Source
Updated
Confidence
Overall score
LMSpeed rank#44
Score63.0
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4

Speed & latency

2 metrics

Output speed49.5 tok/s#113 / 139Time to first token0.76 s#38 / 139
Benchmark
LMSpeed rank
Score
Source
Updated
Confidence
Output speed
LMSpeed rank#113
Score49.5 tok/s
Sourceartificialanalysis.ai
UpdatedJul 17, 2026
Confidence4
Time to first token
LMSpeed rank#38
Score0.76 s
Sourceartificialanalysis.ai
UpdatedJul 17, 2026
Confidence4

Pricing

2 metrics

Input price$1.00/M#100 / 163Output price$3.20/M#90 / 163
Benchmark
LMSpeed rank
Score
Source
Updated
Confidence
Input price
LMSpeed rank#100
Score$1.00/M
Sourceartificialanalysis.ai
UpdatedJul 17, 2026
Confidence4
Output price
LMSpeed rank#90
Score$3.20/M
Sourceartificialanalysis.ai
UpdatedJul 17, 2026
Confidence4

Agents

V3.0

14 metrics · Rated

Score42.9#4880% interval37.3–48.64/4 Measured dimensionsAgentic score50.5#50 / 95Terminal-Bench 2.056.2#32 / 45
Dimensions and evidence
Planning & decomposition51.1
1 family · 1 metric
deep_planning · gert_labs · z 0.13 · q 1.00
Tool use37.6
4 families · 5 metrics
mcp_atlas · mcp_atlas · z -2.45 · q 1.00
mcp_tasks · mcp_tasks · z -1.09 · q 0.63
tau · tau2_bench · z 1.24 · q 1.00
tau · tau3_bench · z -1.74 · q 1.00
toolathlon · toolathlon · z -0.89 · q 1.00
Environment & long-horizon execution42.3
2 families · 2 metrics
terminalbench · benchlm_agentic_terminal_bench2 · z -0.35 · q 1.00
wide_research · wide_research · z -1.34 · q 0.88
Recovery & completion reliability40.7
3 families · 3 metrics
apex_agents · apex_agents_aa · z -0.59 · q 1.00
claw_eval · claw_eval · z -0.35 · q 1.00
cyber_gym · cyber_gym · z -1.95 · q 1.00
Benchmark
LMSpeed rank
Score
Source
Updated
Confidence
Agentic score
LMSpeed rank#50
Score50.5
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4
Terminal-Bench 2.0V3 evidence
LMSpeed rank#32
Score56.2
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4
Claw-EvalV3 evidence
LMSpeed rank#20
Score57.7
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4
QwenClawBench
LMSpeed rank#6
Score54.1
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4
Τ³-bench resultsV3 evidence
LMSpeed rank#9
Score65.6
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4
DeepPlanningV3 evidence
LMSpeed rank#6
Score14.6
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4
ToolathlonV3 evidence
LMSpeed rank#17
Score38.0
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4
MCP AtlasV3 evidence
LMSpeed rank#21
Score31.1
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4
MCP-TasksV3 evidence
LMSpeed rank#4
Score60.8
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4
WideResearchV3 evidence
LMSpeed rank#6
Score69.8
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4
Τ²-bench resultsV3 evidence
LMSpeed rank#6
Score98.2
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4
CyberGymV3 evidence
LMSpeed rank#11
Score43.2
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4
APEX-Agents-AAV3 evidence
LMSpeed rank#15
Score14.5
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4
Gert LabsV3 evidence
LMSpeed rank#20
Score51.0
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4

Coding

V3.0

11 metrics · Rated

Score53.4#2580% interval47.4–59.44/4 Measured dimensionsSciCode46.2%#31 / 184Coding score69.3#42 / 100
Dimensions and evidence
Code generation51.9
1 family · 1 metric
scicode · scicode · z 0.07 · q 1.00
Repository engineering47.3
3 families · 3 metrics
react_native_bench · react_native_evals · z -0.36 · q 1.00
swe_pro · swe_pro · z -0.37 · q 1.00
vibecode · vibe_code_bench · z -0.07 · q 1.00
Debugging & testing57.7
3 families · 3 metrics
swe_multilingual · benchlm_coding_swe_multilingual · z -0.09 · q 1.00
swe_rebench · swe_rebench · z 1.53 · q 1.00
swe_verified · swe_verified · z 0.32 · q 1.00
Tool-assisted development & quality56.8
1 family · 1 metric
terminalbench · terminal_bench_hard · z 0.49 · q 1.00
Benchmark
LMSpeed rank
Score
Source
Updated
Confidence
SciCodeV3 evidence
LMSpeed rank#31
Score46.2%
Sourceartificialanalysis.ai
UpdatedJul 17, 2026
Confidence4
Coding score
LMSpeed rank#42
Score69.3
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4
SWE-bench VerifiedV3 evidence
LMSpeed rank#17
Score77.8
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4
SWE-bench Verified*
LMSpeed rank#3
Score72.8
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4
SWE-bench ProV3 evidence
LMSpeed rank#27
Score55.1
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4
SWE MultilingualV3 evidence
LMSpeed rank#11
Score73.3
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4
SWE-RebenchV3 evidence
LMSpeed rank#2
Score62.8
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4
React Native EvalsV3 evidence
LMSpeed rank#8
Score74.8
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4
Terminal-Bench HardV3 evidence
LMSpeed rank#24
Score43.2
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4
AA-SciCodeV3 evidence
LMSpeed rank#36
Score46.2
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4
Vibe Code BenchV3 evidence
LMSpeed rank#19
Score23.4
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence1

Reasoning

V3.0

8 metrics · Rated

Score49.5#3680% interval41.3–57.63/4 Measured dimensionsMMLU-Pro85.7%#23 / 125GPQA82.0%#66 / 187
Dimensions and evidence
Abstract logicPrior only
Scientific & causal reasoning47.9
3 families · 3 metrics
critpt · critpt · z 0.04 · q 1.00
gpqa · gpqa · z -0.41 · q 1.00
hle · hle · z -0.22 · q 1.00
Multi-step constraints57
1 family · 1 metric
mmlu_pro · mmlu_pro · z 0.71 · q 1.00
Evidence integration & verification43.6
3 families · 3 metrics
ai_needle · ai_needle · z -2.25 · q 0.50
lcr · lcr · z -0.11 · q 1.00
longbench · long_bench_v2 · z -0.07 · q 1.00
Benchmark
LMSpeed rank
Score
Source
Updated
Confidence
MMLU-ProV3 evidence
LMSpeed rank#23
Score85.7%
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4
GPQAV3 evidence
LMSpeed rank#66
Score82.0%
Sourceartificialanalysis.ai
UpdatedJul 17, 2026
Confidence4
HLEV3 evidence
LMSpeed rank#37
Score27.2%
Sourceartificialanalysis.ai
UpdatedJul 17, 2026
Confidence4
Reasoning score
LMSpeed rank#30
Score56.2
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4
LongBench v2V3 evidence
LMSpeed rank#5
Score60.8
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4
AI-NeedleV3 evidence
LMSpeed rank#4
Score63.3
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4
AA-LCRV3 evidence
LMSpeed rank#52
Score63.3
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4
CritPtV3 evidence
LMSpeed rank#46
Score2.0
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4

Knowledge

V3.0

10 metrics · Provisional

Score43.380% interval27.0–59.51/4 Measured dimensionsKnowledge score82.7#14 / 92GPQA-D86.0#22 / 23
Dimensions and evidence
Broad knowledgePrior only
Professional knowledge43.3
1 family · 1 metric
supergpqa · super_gpqa · z -0.64 · q 1.00
FactualityPrior only
Retrieval & open-book usePrior only
Benchmark
LMSpeed rank
Score
Source
Updated
Confidence
Knowledge score
LMSpeed rank#14
Score82.7
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4
GPQA-D
LMSpeed rank#22
Score86.0
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4
SuperGPQAV3 evidence
LMSpeed rank#11
Score66.8
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4
MMLU-Pro (Arcee)
LMSpeed rank#3
Score85.8
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4
Artificial Analysis Intelligence Index
LMSpeed rank#34
Score39.5
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4
AA-GPQA Diamond
LMSpeed rank#56
Score82.0
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4
AA-HLE
LMSpeed rank#37
Score27.2
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4
AA-Omniscience Index
LMSpeed rank#26
Score2.0
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4
AA-Omniscience Accuracy
LMSpeed rank#48
Score26.9
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4
AA-Omniscience Hallucination Rate
LMSpeed rank#80
Score34.0
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4

Math

V3.0

9 metrics · Estimated

Score51.680% interval42.5–60.73/4 Measured dimensionsMath score51.5#31 / 59AIME2695.8#3 / 10
Dimensions and evidence
Foundational mathPrior only
Competition math59.3
2 families · 4 metrics
aime · aime2026 · z 0.51 · q 1.00
hmmt · hmmt_feb2025 · z 1.83 · q 0.88
hmmt · hmmt_feb2026 · z -0.06 · q 1.00
hmmt · hmmt_nov2025 · z 2.19 · q 1.00
Advanced proofs48.2
1 family · 2 metrics
frontiermath · frontier_math_v2_tier4 · z -0.64 · q 1.00
frontiermath · frontier_math_v2_tiers13 · z -0.27 · q 1.00
Applied & tool-assisted math47.2
1 family · 1 metric
mmanswer · mm_answer_bench · z -0.32 · q 1.00
Benchmark
LMSpeed rank
Score
Source
Updated
Confidence
Math score
LMSpeed rank#31
Score51.5
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4
AIME26V3 evidence
LMSpeed rank#3
Score95.8
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4
AIME25 (Arcee)
LMSpeed rank#4
Score93.3
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4
HMMT Feb 2025V3 evidence
LMSpeed rank#1
Score97.5
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4
HMMT Nov 2025V3 evidence
LMSpeed rank#1
Score96.9
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4
HMMT Feb 2026V3 evidence
LMSpeed rank#10
Score86.4
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4
MMAnswerBenchV3 evidence
LMSpeed rank#6
Score82.5
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4
FrontierMath v2 (Tiers 1-3)V3 evidence
LMSpeed rank#31
Score16.4
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4
FrontierMath v2 (Tier 4)V3 evidence
LMSpeed rank#30
Score2.1
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4

Multilingual

V3.0

3 metrics · Estimated

Score4480% interval31.8–56.22/4 Measured dimensionsMultilingual score73.1#20 / 62MMLU-ProX83.1#6 / 11
Dimensions and evidence
Cross-language understanding39.6
1 family · 1 metric
nova · nova63 · z -1.47 · q 0.88
Multilingual generationPrior only
Reasoning transfer48.5
1 family · 1 metric
mmlu_prox · mmlu_pro_x · z 0.00 · q 1.00
Low-resource robustnessPrior only
Benchmark
LMSpeed rank
Score
Source
Updated
Confidence
Multilingual score
LMSpeed rank#20
Score73.1
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4
MMLU-ProXV3 evidence
LMSpeed rank#6
Score83.1
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4
NOVA-63V3 evidence
LMSpeed rank#7
Score55.1
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4

Multimodal

V3.0

2 metrics · Provisional

Score50.980% interval34.9–67.01/4 Measured dimensionsMultimodal Grounded score56.7#57 / 81Design Arena Website1282.0#22 / 65
Dimensions and evidence
Perception & OCRPrior only
Document & spatial understandingPrior only
Visual reasoning50.9
1 family · 1 metric
benchlm_category_multimodal · benchlm_category_multimodal_grounded · z -0.38 · q 1.00
Video & grounded actionPrior only
Benchmark
LMSpeed rank
Score
Source
Updated
Confidence
Multimodal Grounded scoreV3 evidence
LMSpeed rank#57
Score56.7
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4
Design Arena Website
LMSpeed rank#22
Score1282.0
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4

Instruction following

V3.0

3 metrics · Estimated

Score52.780% interval40.7–64.62/4 Measured dimensionsInstruction Following score76.0#27 / 75IFEval92.6#8 / 16
Dimensions and evidence
Constraint following51.5
1 family · 1 metric
ifeval · ifeval · z 0.00 · q 1.00
Structured outputPrior only
Novel-instruction generalization53.8
1 family · 1 metric
ifbench · aa_if_bench · z 0.21 · q 1.00
Multi-turn & long instructionsPrior only
Benchmark
LMSpeed rank
Score
Source
Updated
Confidence
Instruction Following score
LMSpeed rank#27
Score76.0
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4
IFEvalV3 evidence
LMSpeed rank#8
Score92.6
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4
AA-IFBenchV3 evidence
LMSpeed rank#33
Score72.3
Sourcebenchlm.ai
UpdatedJul 17, 2026
Confidence4

OpenRouter endpoints

14 endpoints

Third-party OpenRouter endpoint data, shown separately from LMSpeed measurements. Some 30-minute live performance fields only appear after syncing with an OpenRouter API key.

Provider endpointInputOutput1d uptime30m latency30m throughputContext / output
DeepInfra
deepinfra/fp4
$0.600/M$2.08/M100.0%——202.8K tokens / 16.4K tokens
SiliconFlow
siliconflow/fp8
$0.950/M$2.55/M100.0%——204.8K tokens / 131.1K tokens
Novita
novita/fp8
$1/M$3.20/M99.9%——202.8K tokens / 131.1K tokens
AtlasCloud
atlas-cloud/fp8
$0.950/M$3.15/M99.8%——202.8K tokens / 202.8K tokens
StreamLake
streamlake/fp8
$0.650/M$2.08/M99.8%——198K tokens / 128K tokens
Baidu
baidu/fp8
$0.700/M$2.24/M99.8%——202.8K tokens / 131.1K tokens
Venice
venice/fp8
$1/M$3.20/M99.8%——198K tokens / 32K tokens
GMICloud
gmicloud/fp8
$0.600/M$1.92/M99.7%——202.8K tokens / —
Parasail
parasail/fp8
$1/M$3.20/M99.4%——202.8K tokens / 131.1K tokens
DigitalOcean
digitalocean
$0.750/M$2.40/M96.7%——64K tokens / —
Z.AI
z-ai/fp8
$1/M$3.20/M95.7%——202.8K tokens / 131.1K tokens
Chutes
chutes/fp8
$0.950/M$2.55/M87.6%——202.8K tokens / 65.5K tokens
Phala
phala
$1.20/M$3.50/M69.9%——202.8K tokens / 202.8K tokens
Amazon Bedrock
amazon-bedrock
$1/M$3.20/M0%——202.8K tokens / 131.1K tokens

Pricing Comparison

Compare GLM-5 API pricing across 156 providers. Prices range from $0.010/request to $150.00/M. 素墨API offers the lowest rate at $0.010/request. 3 providers offer free API credits or a free tier.

ProviderHealthModel VariantGroupInput ($/M)Output ($/M)Speed (t/s)First tokenAudit
TokenGo
L1
99%
L2
59%
ChatGLMz-ai/glm-5
default
-52%$0.480/M
Cache read$0.200/M
-52%$1.54/M
42.9 t/s
24.10 s
—
蜜音AI
L1
100%
ChatGLMglm-5
限时特价
$45.00/M
$45.00/M
36.1 t/s
21.94 s
—
V-API
L1
100%
ChatGLMGLM-5
default
$0.040/request
-
—
—
—
L1
100%
ChatGLMglm-5
sale
$2.00/M
$9.00/M
—
—
—
PackyAPI
L1
100%
ChatGLMglm-5
bailian
-71%$0.286/M
Cache read$0.057/M
-60%$1.29/M
—
—
—
YUNWU API
L1
100%
ChatGLMglm-5
default
-73%$0.274/M
-61%$1.23/M
—
—
—
Zero API
L1
100%
ChatGLMglm-5
default
-93%$0.068/M
Cache read$0.014/M
-93%$0.219/M
—
—
—
简易-API中转站
L1
100%
ChatGLMglm-5
default
-49%$0.510/M
-28%$2.29/M
—
—
—
PoloAPI
L1
100%
ChatGLMglm-5
glm
-34%$0.658/M
-24%$2.43/M
—
—
—
全球AI
L1
100%
ChatGLMglm-5
default
$4.00/M
Cache read$0.800/M
$18.00/M
—
—
—
紫脑喵
L1
100%
ChatGLMglm-5
default
$0.010/request
-
—
—
—
乐天图书馆
L1
100%
ChatGLMglm-5
default
-73%$0.274/M
-14%$2.74/M
—
—
—
GLM BigModel Relay
L1
100%
ChatGLMglm-5
other
-58%$0.417/M
Cache read$0.083/M
-58%$1.33/M
—
—
—
N1N
L1
100%
ChatGLMglm-5
default
-45%$0.548/M
-23%$2.47/M
—
—
—
钱多多 API
L1
100%
ChatGLMPro/zai-org/GLM-5
default
$2.94/M
$10.78/M
—
—
—
L1
100%
ChatGLMglm-5
default
$36.71/M
$36.71/M
—
—
—
兔子API
Free
L1
100%
ChatGLMglm-5
default
Free
Free
—
—
—
Compute Token
L1
100%
ChatGLMglm-5
default
-76%$0.240/M
Cache read$0.048/M
-76%$0.767/M
—
—
—
向量引擎
L1
100%
ChatGLMglm-5
default
-73%$0.274/M
-61%$1.23/M
—
—
—
SmokeDivine AI
L1
100%
ChatGLMglm-5
default
-56%$0.438/M
-38%$1.97/M
—
—
—
Showing 20 model IDs of 79.

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Frequently Asked Questions

What benchmark data does GLM-5 include?
LMSpeed shows GLM-5 benchmark context, API price, output speed, first-token latency, and provider data across 159 providers when those signals are available.
What is the GLM-5 API price?
GLM-5 has pricing from 159 providers, ranging from $0.010/request to $150.00/M. 素墨API has the lowest listed price.
What does the GLM-5 API pricing table include?
The GLM-5 API pricing table compares 159 providers by input price, output price, free tier status, speed, first-token latency, and recent health data when available.
Which provider has the cheapest GLM-5 API pricing?
素墨API currently has the lowest listed GLM-5 price at across 159 providers.

Also known as

GLM-5GLM-5-2ccGLM-5-fastPro/zai-org/GLM-5ZHIPU/GLM-5

Data as of Jul 18, 2026, 03:39 AM·Rankings are based on community-submitted tests and periodic health probes. Advisory only, not official data.·Standard benchmark data may include BenchLM and other public sources.

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View API Documentation
Output
Released
Feb 2026
Documentation
OpenRouterHuggingFaceOllama
Tokenizer
Other
Architecture
text->text
Moderated
No
Supported parameters
frequency_penaltyinclude_reasoninglogit_biaslogprobsmax_tokensmin_ppresence_penaltyreasoningrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p
$0.010/request
Can I compare GLM-5 API price and speed together?
Yes. LMSpeed shows GLM-5 API price, output speed, first-token latency, and provider health on the same page so you can compare cost and performance together.
Is GLM-5 API free?
Yes, GLM-5 free API options are available through 3 providers on LMSpeed, including Moyanjdc API, Zero API, 兔子API. These providers offer free API credits or a free tier with no per-token charges.
Where can I get GLM-5 free API access?
LMSpeed currently lists 3 free API providers for GLM-5: Moyanjdc API, Zero API, 兔子API. Check each provider row before using it because free tier limits can change.

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