Z.ai
·Released on Dec 22, 2025GLM-4.7 API Benchmarks, Pricing & Provider Data
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LLM
GLM-4.7 benchmark, API pricing, and provider data cover undefined API provider} other undefined API providers}}, with prices starting at $0.0060/M. GLM-4.7 free API options are available from undefined provider} other undefined providers}}. The page also shows measured API speed and first-token latency.
Zhipu GLM-4.7 is a flagship GLM release from Zhipu AI with advanced Chinese-English reasoning, coding, and agent features.
Quality
#104of 112
43.0
LMSpeed score
Speed
95char/s
19.09 s
Cost
#96of 186
$0.0060/ 1M · 8:1 in:out
$0.0010 in · $0.0050 out
Category Performance
Observed-capability estimates with uncertainty reported separately from independent benchmark families.
- Coverage
- 6 / 8
- Methodology
- V3.0
#1Reasoning54.2RatedGlobal rank #223/4 Measured dimensions
80% interval: 45.6–62.9
abstract logicPrior only
scientific causal54.4
critpt · critpt / gpqa · gpqa / hle · hle
multistep constraints56.8
mmlu_pro · mmlu_pro
evidence verification51.5
lcr · lcr
#2Instruction following51.9Provisional1/4 Measured dimensions
80% interval: 35.9–67.9
constraint followingPrior only
structured outputPrior only
novel instruction generalization51.9
ifbench · aa_if_bench
long multiturn instructionPrior only
#3Coding51.8Estimated2/4 Measured dimensions
80% interval: 41.3–62.3
code generation57.4
livecodebench · livecodebench / scicode · aa_sci_code
repository engineeringPrior only
debugging testing46.3
swe_rebench · swe_rebench / swe_verified · swe_verified
tooling qualityPrior only
#4Math48.7Estimated2/4 Measured dimensions
80% interval: 36.4–61.1
foundational mathPrior only
competition math57
aime · aime2025
proof frontier40.5
frontiermath · frontier_math_v2_tier4 / frontiermath · frontier_math_v2_tiers13
applied tool mathPrior only
#5Agents46.2RatedGlobal rank #463/4 Measured dimensions
80% interval: 37.6–54.8
planning45.3
deep_planning · gert_labs
tool use56.3
tau · tau2_bench
environment execution36.9
browsecomp · browse_comp / gdpval_aa · benchlm_agentic_gdpval_aa / terminalbench · benchlm_agentic_terminal_bench2 / vita_bench · vita_bench
recovery reliabilityPrior only
#6Knowledge35Provisional1/4 Measured dimensions
80% interval: 21.0–49.0
broad knowledge35
aa_omniscience · aa_omniscience_index / benchlm_category_knowledge · benchlm_category_knowledge
professional knowledgePrior only
factualityPrior only
retrieval open bookPrior only
No data:MultilingualMultimodal
Specifications
Input and output token limits for this model, plus how it ranks on long-context understanding.
INPUT
204.8Ktokens
≈ 245.8 pages of text
OUTPUT
131.1Ktokens
8K128K1M4M
204.8K
Features
Technical Details
- Input
- Output
- Released
- Dec 2025
- Tokenizer
- Other
- Architecture
- text->text
- Moderated
- No
- Supported parameters
- frequency_penaltyinclude_reasoninglogit_biasmax_tokensmin_ppresence_penaltyreasoningrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_atop_ktop_p
Rankings
Excels at
It's decent at
Falls behind in
Detailed scores
Updated: Sep 13, 2026Overall
undefined metric} other undefined metrics}}
Overall score43.0#104 / 112
Overall
undefined metric} other undefined metrics}}
Benchmark
LMSpeed rank
Score
Source
Updated
Confidence
Pricing
undefined metric} other undefined metrics}}
Input price$0.600/M#96 / 186Output price$2.20/M#80 / 186
Pricing
undefined metric} other undefined metrics}}
Benchmark
LMSpeed rank
Score
Source
Updated
Confidence
Agents
V3.0undefined metric} other undefined metrics}} · Rated
Score46.2#4680% interval37.6–54.83/4 Measured dimensionsAgentic score10.8#77 / 77Terminal-Bench 2.041.0#51 / 53
Agents
V3.0undefined metric} other undefined metrics}} · Rated
Dimensions and evidence
Planning & decomposition45.3
undefined family} other undefined families}} · undefined metric} other undefined metrics}}
deep_planning · gert_labs · z -0.61 · q 1.00
Tool use56.3
undefined family} other undefined families}} · undefined metric} other undefined metrics}}
tau · tau2_bench · z 0.74 · q 1.00
Environment & long-horizon execution36.9
undefined family} other undefined families}} · undefined metric} other undefined metrics}}
browsecomp · browse_comp · z -1.97 · q 1.00
gdpval_aa · benchlm_agentic_gdpval_aa · z -0.17 · q 1.00
terminalbench · benchlm_agentic_terminal_bench2 · z -1.37 · q 1.00
vita_bench · vita_bench · z -1.19 · q 1.00
Recovery & completion reliabilityPrior only
Benchmark
LMSpeed rank
Score
Source
Updated
Confidence
Coding
V3.0undefined metric} other undefined metrics}} · Estimated
Score51.880% interval41.3–62.32/4 Measured dimensionsLiveCodeBench56.2%#48 / 115Coding score52.7#46 / 87
Coding
V3.0undefined metric} other undefined metrics}} · Estimated
Dimensions and evidence
Code generation57.4
undefined family} other undefined families}} · undefined metric} other undefined metrics}}
livecodebench · livecodebench · z 1.44 · q 1.00
scicode · aa_sci_code · z 0.18 · q 1.00
Repository engineeringPrior only
Debugging & testing46.3
undefined family} other undefined families}} · undefined metric} other undefined metrics}}
swe_rebench · swe_rebench · z -0.08 · q 1.00
swe_verified · swe_verified · z -0.57 · q 1.00
Tool-assisted development & qualityPrior only
Benchmark
LMSpeed rank
Score
Source
Updated
Confidence
LiveCodeBenchV3 evidence
LMSpeed rank#48
Score56.2%
Sourceartificialanalysis.ai
UpdatedSep 13, 2026
Confidence4
Reasoning
V3.0undefined metric} other undefined metrics}} · Rated
Score54.2#2280% interval45.6–62.93/4 Measured dimensionsMMLU-Pro79.4%#67 / 129GPQA66.4%#154 / 218
Reasoning
V3.0undefined metric} other undefined metrics}} · Rated
Dimensions and evidence
Abstract logicPrior only
Scientific & causal reasoning54.4
undefined family} other undefined families}} · undefined metric} other undefined metrics}}
critpt · critpt · z -0.24 · q 1.00
gpqa · gpqa · z 0.51 · q 1.00
hle · hle · z 0.50 · q 1.00
Multi-step constraints56.8
undefined family} other undefined families}} · undefined metric} other undefined metrics}}
mmlu_pro · mmlu_pro · z 0.71 · q 1.00
Evidence integration & verification51.5
undefined family} other undefined families}} · undefined metric} other undefined metrics}}
lcr · lcr · z -0.15 · q 1.00
Benchmark
LMSpeed rank
Score
Source
Updated
Confidence
MMLU-ProV3 evidence
LMSpeed rank#67
Score79.4%
Sourceartificialanalysis.ai
UpdatedSep 13, 2026
Confidence4
Knowledge
V3.0undefined metric} other undefined metrics}} · Provisional
Score3580% interval21.0–49.01/4 Measured dimensionsKnowledge score32.2#82 / 83Artificial Analysis Intelligence Index22.2#78 / 117
Knowledge
V3.0undefined metric} other undefined metrics}} · Provisional
Dimensions and evidence
Broad knowledge35
undefined family} other undefined families}} · undefined metric} other undefined metrics}}
aa_omniscience · aa_omniscience_index · z -1.11 · q 1.00
benchlm_category_knowledge · benchlm_category_knowledge · z -2.24 · q 1.00
Professional knowledgePrior only
FactualityPrior only
Retrieval & open-book usePrior only
Benchmark
LMSpeed rank
Score
Source
Updated
Confidence
Artificial Analysis Intelligence IndexV3 evidence
LMSpeed rank#78
Score22.2
Sourcebenchlm.ai
UpdatedSep 13, 2026
Confidence3
AA-Omniscience Hallucination Rate
LMSpeed rank#6
Score93.0
Sourcebenchlm.ai
UpdatedSep 13, 2026
Confidence3
Math
V3.0undefined metric} other undefined metrics}} · Estimated
Score48.780% interval36.4–61.12/4 Measured dimensionsAIME 202595.7#2 / 4Math score26.0#58 / 63
Math
V3.0undefined metric} other undefined metrics}} · Estimated
Dimensions and evidence
Foundational mathPrior only
Competition math57
undefined family} other undefined families}} · undefined metric} other undefined metrics}}
aime · aime2025 · z 0.39 · q 0.50
Advanced proofs40.5
undefined family} other undefined families}} · undefined metric} other undefined metrics}}
frontiermath · frontier_math_v2_tier4 · z -1.36 · q 1.00
frontiermath · frontier_math_v2_tiers13 · z -1.46 · q 1.00
Applied & tool-assisted mathPrior only
Benchmark
LMSpeed rank
Score
Source
Updated
Confidence
FrontierMath v2 (Tiers 1-3)V3 evidence
LMSpeed rank#42
Score2.4
Sourcebenchlm.ai
UpdatedSep 13, 2026
Confidence3
Multilingual
V3.0undefined metric} other undefined metrics}} · No data
No data80% interval30.8–69.20/4 Measured dimensions
Multilingual
V3.0undefined metric} other undefined metrics}} · No data
Dimensions and evidence
Cross-language understandingPrior only
Multilingual generationPrior only
Reasoning transferPrior only
Low-resource robustnessPrior only
Multimodal
V3.0undefined metric} other undefined metrics}} · No data
80% interval30.8–69.20/4 Measured dimensionsDesign Arena Website1238.0#41 / 78
Multimodal
V3.0undefined metric} other undefined metrics}} · No data
Dimensions and evidence
Perception & OCRPrior only
Document & spatial understandingPrior only
Visual reasoningPrior only
Video & grounded actionPrior only
Benchmark
LMSpeed rank
Score
Source
Updated
Confidence
Instruction following
V3.0undefined metric} other undefined metrics}} · Provisional
Score51.980% interval35.9–67.91/4 Measured dimensionsAA-IFBench67.9#41 / 84Instruction Following score82.8#36 / 52
Instruction following
V3.0undefined metric} other undefined metrics}} · Provisional
Dimensions and evidence
Constraint followingPrior only
Structured outputPrior only
Novel-instruction generalization51.9
undefined family} other undefined families}} · undefined metric} other undefined metrics}}
ifbench · aa_if_bench · z -0.04 · q 1.00
Multi-turn & long instructionsPrior only
Benchmark
LMSpeed rank
Score
Source
Updated
Confidence
OpenRouter endpoints
7 endpointsThird-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 endpoint | Input | Output | 1d uptime | 30m latency | 30m throughput | Context / output |
|---|---|---|---|---|---|---|
Google google-vertex | $0.600/M | $2.20/M | 100.0% | — | — | undefined tokens / undefined tokens |
DeepInfra deepinfra/fp4 | $0.400/M | $1.75/M | 99.3% | — | — | undefined tokens / undefined tokens |
Venice venice/fp4 | $0.400/M | $1.93/M | 97.8% | — | — | undefined tokens / undefined tokens |
Mancer 2 mancer/fp4 | $0.700/M | $2.50/M | 97.6% | — | — | undefined tokens / undefined tokens |
Novita novita/fp8 | $0.540/M | $1.98/M | 93.5% | — | — | undefined tokens / undefined tokens |
AtlasCloud atlas-cloud/fp8 | $0.520/M | $1.85/M | 90.9% | — | — | undefined tokens / undefined tokens |
Z.AI z-ai/fp4 | $0.600/M | $2.20/M | 87.6% | — | — | undefined tokens / undefined tokens |
Pricing Comparison
Compare GLM-4.7 API pricing across 125 providers. Prices range from $0.0060/M to $150.00/M. 无限智能 offers the lowest rate at $0.0060/M. 4 providers offer free API credits or a free tier.
| Provider | Health | Model Variant | Group | Input ($/M) | Output ($/M) | Speed (t/s) | First token | Audit |
|---|---|---|---|---|---|---|---|---|
L1 100% | glm-4.7 | Alibaba-1 | -83%$0.104/M Cache read$0.062/M | -78%$0.484/M | 64.1 t/s | 7.68 s | — | |
L1 100% | glm-4.7 | sale | $1.00/M | $4.00/M | — | — | — | |
L1 100% | glm-4.7 | default | -66%$0.205/M Cache read$0.123/M | -56%$0.959/M | — | — | — | |
L1 100% | glm-4.7 | zai-officially | -5%$0.571/M Cache read$0.114/M | $2.29/M | — | — | — | |
L1 100% | glm-4.7 | default | -66%$0.205/M Cache read$0.123/M | -56%$0.959/M | — | — | — | |
L1 100% | glm-4.7 | default | -36%$0.384/M | -27%$1.61/M | — | — | — | |
L1 100% | glm-4.7 | default | -9%$0.548/M | $2.19/M | — | — | — | |
L1 100% | glm-4-7-251222 | default | -9%$0.548/M | $2.19/M | — | — | — | |
L1 100% | glm-4.7 | default | -9%$0.548/M Cache read$0.110/M | $2.19/M | — | — | — | |
L1 100% | glm-4.7 | default | -93%$0.041/M Cache read$0.0068/M | -93%$0.151/M | — | — | — | |
L1 100% | glm-4.7 | default | -54%$0.274/M | -25%$1.64/M | — | — | — | |
L1 100% | glm-4.7 | deepseek | $4.11/M | $4.11/M | — | — | — | |
L1 100% | GLM-4.7 | Zai-officially | $9.25/M | $9.25/M | — | — | — | |
DeadlySignal API Free | L1 99% L2 100% | glm-4.7 | default | Free | Free | — | — | — |
L1 100% | glm-4.7 | GLM-免费科研🔥-x0.01-福利 | -99%$0.0060/M Cache read$0.0011/M | -99%$0.022/M | — | — | — | |
L1 100% | glm-4.7 | default | $0.822/M | $3.84/M | — | — | — | |
L1 99% | glm-4.7 | 国产模型渠道 | $2.00/M | $8.00/M | — | — | — | |
L1 100% | glm-4.7 | 国模分组2 | $21.90/M Cache read$4.38/M | $102.20/M | — | — | — | |
L1 100% | glm-4.7 | test | -86%$0.082/M Cache read$0.015/M | -86%$0.301/M | — | — | — | |
L1 100% | glm-4.7 | default | $6.00/M | $24.00/M | — | — | — |
Showing 20 model IDs of 58.
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Frequently Asked Questions
- What benchmark data does GLM-4.7 include?
- LMSpeed shows GLM-4.7 benchmark context, API price, output speed, first-token latency, and provider data across 129 providers when those signals are available.
- What is the GLM-4.7 API price?
- GLM-4.7 has pricing from undefined provider} other undefined providers}}, ranging from $0.0060/M to $150.00/M. 无限智能 has the lowest listed price.
- What does the GLM-4.7 API pricing table include?
- The GLM-4.7 API pricing table compares 129 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-4.7 API pricing?
- 无限智能 currently has the lowest listed GLM-4.7 price at $0.0060/M across undefined provider} other undefined providers}}.
- Can I compare GLM-4.7 API price and speed together?
- Yes. LMSpeed shows GLM-4.7 API price, output speed, first-token latency, and provider health on the same page so you can compare cost and performance together.
- Is GLM-4.7 API free?
- Yes, GLM-4.7 free API options are available through 4 providerundefined other undefined} on LMSpeed, including Moyanjdc API, 兔子API, DeadlySignal API, Zero API. These providers offer free API credits or a free tier with no per-token charges.
- Where can I get GLM-4.7 free API access?
- LMSpeed currently lists 4 free API providerundefined other undefined} for GLM-4.7: Moyanjdc API, 兔子API, DeadlySignal API, Zero API. Check each provider row before using it because free tier limits can change.