Alibaba Cloud / Qwen Team model product
Qwen2-7B-Instruct is an instruction-tuned language model with 7 billion parameters and a context length of up to 131,072 tokens.
Updated Sep 8, 2026. Default version: Qwen2 7B Instruct
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for Qwen2 7B Instruct.
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkAlignBench | Score72.10% | Rank04 | Participants4 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkEvalPlus | Score0.70 points | Rank04 | Participants4 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkTheoremQA | Score25.30% | Rank06 | Participants6 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkMT-Bench | Score84.10% | Rank07 | Participants12 | Percentile45.45% | EvidenceC | Evaluated |
| BenchmarkMultiPL-E | Score59.10% | Rank13 | Participants13 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkC-Eval | Score77.20% | Rank15 | Participants18 | Percentile17.65% | EvidenceC | Evaluated |
| BenchmarkMBPP | Score67.20% | Rank25 | Participants33 | Percentile25.00% | EvidenceC | Evaluated |
| BenchmarkGSM8k | Score82.30% | Rank37 | Participants48 | Percentile23.40% | EvidenceC | Evaluated |
| BenchmarkHumanEval | Score79.90% | Rank46 | Participants66 | Percentile30.77% | EvidenceC | Evaluated |
| BenchmarkMATH | Score49.60% | Rank56 | Participants71 | Percentile21.43% | EvidenceC | Evaluated |
| BenchmarkLiveCodeBench | Score26.60% | Rank66 | Participants75 | Percentile12.16% | EvidenceC | Evaluated |
| BenchmarkMMLU | Score70.50% | Rank82 | Participants101 | Percentile19.00% | EvidenceC | Evaluated |
| BenchmarkMMLU-Pro | Score44.10% | Rank129 | Participants138 | Percentile6.57% | EvidenceC | Evaluated |
| BenchmarkGPQA | Score25.30% | Rank240 | Participants247 | Percentile2.85% | EvidenceC | Evaluated |
Preference and agent-evaluation results for the default version.
The default version does not have a matching Arena result yet.
Official vendor API pricing appears first, followed by individual provider offers.
The default version has no current input or output token prices.
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
Provider-specific output speed and catalog latency for Qwen2 7B Instruct. Runtime does not affect the capability score.
No provider-specific speed or latency record is linked to the default version yet.
Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.
Technical details for the model's default version.
Available versions of this model. The score column identifies the version used in the overall ranking.
Version | Released | LLMBoard | Parameters | Context | Max output | Open weights | License |
|---|
| VersionQwen2 7B Instruct | Released | LLMBoard0.00 | Parameters7.6B | ContextN/A | Max outputN/A | Open weightsYes | LicenseApache 2.0 |
Recommendations prioritize the same model type and family, then the closest LLMBoard score.
Key information about Qwen2 7B and its available data.
Qwen2-7B-Instruct is a language model from Alibaba Cloud / Qwen Team. It has 7 billion parameters and supports a context length of up to 131,072 tokens.
Data as of 2026-09-08.
Common questions about Qwen2 7B.
Qwen2 7B's default version was released on Jul 23, 2024.
No official standard PAYG price is currently available for Qwen2 7B.
Qwen2 7B was created by Alibaba Cloud / Qwen Team.
A context window is not available for the default version.
Yes. The default version is marked as open weight under Apache 2.0.
No provider offering is currently linked to the default version.