Model Comparison
Devstral Small 2
vs. Qwen3.6 27B (Non-reasoning)
Comparing 2 AI models · 10 benchmarks · Mistral, Alibaba
Recommended Pick
Al Qwen3.6 27B (Non-reasoning) 11 metric wins Strongest on: Throughput, Reasoning, Intelligence
Lowest Price
Devstral Small 2
$0.00/1M input price
Best Reasoning
Qwen3.6 27B (Non-reasoning)
44.5 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3.6 27B (Non-reasoning)
26.6 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Price gap
Devstral Small 2 is ∞x cheaper on input tokens than Qwen3.6 27B (Non-reasoning).
Reasoning gap
Qwen3.6 27B (Non-reasoning) leads Devstral Small 2 by 15.6 points on reasoning.
Coding gap
Qwen3.6 27B (Non-reasoning) leads Devstral Small 2 by 5.9 points on coding.
Top-pick rationale
Qwen3.6 27B (Non-reasoning) wins 11 measurable categories, including Throughput, Reasoning, Intelligence, Coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Devstral Small 2
Mistral
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Qwen3.6 27B (Non-reasoning)
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Mi Devstral Small 2 | Top Pick Al Qwen3.6 27B (Non-reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.60/1M |
| Output Cost | $0.00/1M | $3.60/1M |
| Blended (3:1) | — | $1.35/1M |
| Specifications | ||
| Organization | Mistral | Alibaba |
| Release Date | Dec 9, 2025 | Apr 22, 2026 |
| Performance & Speed | ||
| Throughput | 63.4 tok/s | 64.2 tok/s |
| TTFT | 589ms | 1507ms |
| Latency | 589ms | 1507ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 28.9 | 44.5 |
| Intelligence | 19.5 | 37.1 |
| Coding | 20.7 | 26.6 |
| Math | 34.3 | — |
| Standard Benchmarks | ||
| GPQA | 53.2% | 82.9% |
| MMLU Pro | 67.8% | — |
| HLE | 3.4% | 13.6% |
| LiveCodeBench | 34.8% | — |
| AIME 2025 | 34.3% | — |
| SciCode | 28.8% | 37.3% |
| LCR | 24.0% | 55.0% |
| IFBench | 31.2% | 45.7% |
| TAU-bench v2 | 23.4% | 93.6% |
| TerminalBench Hard | 16.7% | 21.2% |
Key Takeaways
Devstral Small 2 offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
Qwen3.6 27B (Non-reasoning) has the strongest reasoning profile with a 44.5 reasoning score, combining the available reasoning-heavy benchmarks.
Qwen3.6 27B (Non-reasoning) reaches a 26.6 coding index, making it the top choice for software development and code generation tasks.
All models support context windows of ∞+ tokens, suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
Devstral Small 2
- Cost-sensitive applications
- High-volume processing
Qwen3.6 27B (Non-reasoning)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
