Qwen3.8 27B API Benchmarks, Pricing & Provider Data
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Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thin...
Category Performance
Observed-capability estimates with uncertainty reported separately from independent benchmark families.
- Coverage
- 6 / 8
- Methodology
- V3.0
#1Reasoning58.1Provisional1/4 Measured dimensions
#2Multimodal57.7Estimated2/4 Measured dimensions
#3Agents57.2Estimated2/4 Measured dimensions
#4Coding56.2Estimated2/4 Measured dimensions
#5Instruction following56.1Provisional1/4 Measured dimensions
#6Knowledge41.5Provisional1/4 Measured dimensions
Specifications
Input and output token limits for this model, plus how it ranks on long-context understanding.
Features
Technical Details
- Input
- Output
- Total parameters
- 27B
- Released
- Aug 2026
- Tokenizer
- Qwen
- Architecture
- text+image+video->text
- Moderated
- No
- Supported parameters
- frequency_penaltyinclude_reasoninglogit_biaslogprobsmax_tokenspresence_penaltyreasoningreasoning_effortrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p
Rankings
Excels at
It's decent at
Falls behind in
Detailed scores
Updated: Aug 23, 2026Overall
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Overall score68.0#24 / 100DeepSWE42.2#15 / 16
Overall
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Pricing
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Input price$0.425/M#79 / 180Output price$3.10/M#102 / 180
Pricing
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Agents
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Score57.280% interval45.3–69.12/4 Measured dimensionsAgentic score84.4#12 / 69Terminal-Bench 2.173.0#6 / 7
Agents
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Coding
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Score56.280% interval45.6–66.92/4 Measured dimensionsSciCode44.7%#48 / 204Coding score53.3#51 / 81
Coding
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Reasoning
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Score58.180% interval44.2–72.01/4 Measured dimensionsGPQA90.5%#25 / 211HLE33.9%#40 / 208
Reasoning
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Knowledge
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Score41.580% interval25.4–57.51/4 Measured dimensionsKnowledge score47.0#62 / 69GPQA-D89.2#18 / 31
Knowledge
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Math
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No data80% interval30.8–69.20/4 Measured dimensions
Math
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Multilingual
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No data80% interval30.8–69.20/4 Measured dimensions
Multilingual
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Multimodal
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Score57.780% interval46.4–69.02/4 Measured dimensionsMultimodal Grounded score79.8#9 / 44MathVision90.0#4 / 13
Multimodal
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Instruction following
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Score56.180% interval40.1–72.21/4 Measured dimensionsInstruction Following score90.4#10 / 25IFBench79.5#5 / 14
Instruction following
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OpenRouter endpoints
8 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 |
|---|---|---|---|---|---|---|
Alibaba alibaba | $0.500/M | $3/M | 100.0% | — | — | undefined tokens / undefined tokens |
AkashML akashml/bf16 | $0.400/M | $3/M | 99.9% | — | — | undefined tokens / undefined tokens |
Reka reka/fp8 | $0.450/M | $3.20/M | 99.9% | — | — | undefined tokens / undefined tokens |
Parasail parasail/fp8 | $0.450/M | $3.20/M | 99.6% | — | — | undefined tokens / undefined tokens |
Chutes chutes/fp8 | $0.400/M | $3/M | 99.5% | — | — | undefined tokens / undefined tokens |
Io Net io-net/fp8 | $0.480/M | $3.40/M | 99.3% | — | — | undefined tokens / undefined tokens |
Venice venice/fp8 | $0.450/M | $3.20/M | 99.3% | — | — | undefined tokens / undefined tokens |
CoreWeave coreweave/fp8 | $0.400/M | $3/M | 98.0% | — | — | undefined tokens / undefined tokens |
