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Alibaba Cloud / Qwen Team model product

Qwen2 7B

Qwen2-7B-Instruct is an instruction-tuned language model with 7 billion parameters, supporting a context length of up to 131,072 tokens.

Updated Aug 17, 2026. Default version: Qwen2 7B Instruct

Compare
LLMBoard Score0.0Qwen2 7B Instruct
Coverage100%14 benchmark families
Context windowN/ATokens
Official input priceN/AOfficial price unavailable

On this page

  • Capability
  • Benchmarks
  • Arena
  • Pricing
  • Runtime
  • Specification
  • Versions
  • Compare
  • Similar models
  • About
  • FAQ

Qwen2 7B Capability Profile

This profile uses the model's current scored version. Arena ratings and prices are shown separately.

Qwen2 7B Instruct LLMBoard score breakdown

Qwen2 7B Benchmark Results

Benchmark scores for Qwen2 7B Instruct.

14 rows
Columns

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Benchmark
Score
Rank
Participants
Percentile
Evidence
Evaluated
BenchmarkAlignBenchScore72.1%Rank04Participants4Percentile0.0%EvidenceCEvaluatedAug 17, 2026
BenchmarkEvalPlusScore0.703 pointsRank04Participants4Percentile0.0%EvidenceCEvaluatedAug 17, 2026
BenchmarkTheoremQAScore25.3%Rank06Participants6Percentile0.0%EvidenceCEvaluatedAug 17, 2026
BenchmarkMT-BenchScore84.1%Rank07Participants12Percentile45.5%EvidenceCEvaluatedAug 17, 2026
BenchmarkMultiPL-EScore59.1%Rank13Participants13Percentile0.0%EvidenceCEvaluatedAug 17, 2026
BenchmarkC-EvalScore77.2%Rank15Participants18Percentile17.6%EvidenceCEvaluatedAug 17, 2026
BenchmarkMBPPScore67.2%Rank25Participants33Percentile25.0%EvidenceCEvaluatedAug 17, 2026
BenchmarkGSM8kScore82.3%Rank37Participants48Percentile23.4%EvidenceCEvaluatedAug 17, 2026
BenchmarkHumanEvalScore79.9%Rank46Participants66Percentile30.8%EvidenceCEvaluatedAug 17, 2026
BenchmarkMATHScore49.6%Rank56Participants71Percentile21.4%EvidenceCEvaluatedAug 17, 2026
BenchmarkLiveCodeBenchScore26.6%Rank66Participants75Percentile12.2%EvidenceCEvaluatedAug 17, 2026
BenchmarkMMLUScore70.5%Rank82Participants101Percentile19.0%EvidenceCEvaluatedAug 17, 2026
BenchmarkMMLU-ProScore44.1%Rank125Participants134Percentile6.8%EvidenceCEvaluatedAug 17, 2026
BenchmarkGPQAScore25.3%Rank232Participants239Percentile2.9%EvidenceCEvaluatedAug 17, 2026

Qwen2 7B Arena Results

Preference and agent-evaluation results for the default version.

No Arena results

The default version does not have a matching Arena result yet.

Qwen2 7B Pricing

Official vendor API pricing appears first, followed by individual provider offers.

Official API
N/A
Official provider
N/A
Lowest third-party
N/A
Tracked offerings
0
No provider prices

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.

Qwen2 7B Runtime Performance

Provider-specific output speed and catalog latency for Qwen2 7B Instruct. Runtime does not affect the capability score.

No runtime data

No provider-specific speed or latency record is linked to the default version yet.

Browse runtime rankings

Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.

Qwen2 7B Specifications

Technical details for the model's default version.

Version
Qwen2 7B Instruct
Released
Jul 23, 2024
Knowledge cutoff
Unknown
Parameters
7.6B
Context window
N/A
Max output
N/A
Inputs
text
Outputs
text
Open weights
No
License
Apache 2.0

Qwen2 7B Versions

Available versions of this model. The score column identifies the version used in the overall ranking.

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Version
Released
LLMBoard
Parameters
Context
Max output
Open weights
License
VersionQwen2 7B InstructReleasedJul 23, 2024LLMBoard0.0Parameters7.6BContextN/AMax outputN/AOpen weightsNoLicenseApache 2.0

Qwen2 7B vs nearby models

Open a comparison with the three ranked models immediately above and below this model.

Qwen2 7BvsGemma 3 1BQwen2 7BvsGemini 1.0 ProQwen2 7BvsLlama 3.1 8BQwen2 7BvsERNIE 4.5Qwen2 7BvsPhi 4 MiniQwen2 7BvsGemma 2 27B

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What is Qwen2 7B?

Key information about Qwen2 7B and its available data.

Qwen2-7B-Instruct is an instruction-tuned language model with 7 billion parameters, supporting a context length of up to 131,072 tokens.

Data as of 2026-08-17.

FAQ

Common questions about Qwen2 7B.

When was Qwen2 7B released?

Qwen2 7B's default version was released on Jul 23, 2024.

How much does Qwen2 7B cost?

No official standard PAYG price is currently available for Qwen2 7B.

Who created Qwen2 7B?

Qwen2 7B was created by Alibaba Cloud / Qwen Team.

What is the context window for Qwen2 7B?

A context window is not available for the default version.

Is Qwen2 7B open weight?

No. The default version is not marked as having publicly available weights.

How many API providers offer Qwen2 7B?

No provider offering is currently linked to the default version.

What models should I compare Qwen2 7B with?

Nearby ranked alternatives include Gemma 3 1B, Gemini 1.0 Pro, Llama 3.1 8B.