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Qwen3 4B 2507 (Reasoning) results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Terminal-Bench Hard | 5.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveCodeBench | 64.0 | 100.0 | Artificial Analysis official API |
| SciCode | 26.0 | 100.0 | — |
| AA Coding Index | 9.5 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU-Pro | 74.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 38.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AIME 2025 | 83.0 | 100.0 | Artificial Analysis official API |
| AA Math Index | 82.7 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 18.2 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU Pro | 74.3 | 100.0 | Artificial Analysis official API |
| GPQA Diamond | 67.0 | 100.0 | Artificial Analysis official API |
| IFBench | 50.0 | 100.0 | — |
| HLE | 6.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Tau²-Bench | 27.0 | 100.0 | — |
Qwen3 4B 2507 (Reasoning) is an AI model developed by Alibaba, classified as a text model. It focuses on text processing and natural language generation. As a proprietary model, it is available via Alibaba's cloud API.
Qwen3 4B 2507 (Reasoning) does not have public per-token pricing available at this time. Some models offer access via enterprise plans or research programs. Check Alibaba's official website for up-to-date availability and pricing.
Qwen3 4B 2507 (Reasoning) was evaluated on 14 different benchmarks, covering categories like Agentic, Coding, Knowledge, Long Context, Math, overall, Reasoning, Tool Use. Results show solid performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Qwen3 4B 2507 (Reasoning) specializes in text, offering advanced capabilities for creating and processing text content.
In the 2026 AI model ecosystem, Qwen3 4B 2507 (Reasoning) competes directly with similarly capable models. Alibaba competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Qwen3 4B 2507 (Reasoning) is an AI model developed by Alibaba. It is a text model.
Qwen3 4B 2507 (Reasoning) does not have public per-token pricing available at this time. Check Alibaba's official website for up-to-date information.
In available benchmarks, Qwen3 4B 2507 (Reasoning) scored: Terminal-Bench Hard: 5/100, LiveCodeBench: 64/100, SciCode: 26/100. See the full table above for a detailed comparison.
No, Qwen3 4B 2507 (Reasoning) is a proprietary model from Alibaba. It is available via cloud API. For open source alternatives, check our open source model ranking.
Qwen3 4B 2507 (Reasoning) excels at general-purpose language tasks.
Last updated: June 01, 2026 • View methodology →