Model Comparison
Qwen3 4B (Non-reasoning)
vs. M (Reasoning)
Comparing 2 AI models · 11 benchmarks · Alibaba, Sarvam
Recommended Pick
SaM (Reasoning)5 metric winsStrongest on: GPQA, MMLU Pro, LiveCodeBench
Lowest Price
Qwen3 4B (Non-reasoning)
$0.00/1M input price
Best Reasoning
Qwen3 4B (Non-reasoning)
31.2 reasoning score
Blends available reasoning benchmarks
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Reasoning gap
Qwen3 4B (Non-reasoning) leads M (Reasoning) by 0.6 points on reasoning.
Top-pick rationale
M (Reasoning) wins 5 measurable categories, including GPQA, MMLU Pro, LiveCodeBench, MATH 500.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3 4B (Non-reasoning)
Alibaba
TTFT
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Time
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tok/s
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Tokens
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Cost
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M (Reasoning)
Sarvam
TTFT
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Time
—
tok/s
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Tokens
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Cost
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Which answer was more useful?
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Full Comparison
| Metric | Al Qwen3 4B (Non-reasoning) | Top Pick Sa M (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.00/1M |
| Output Cost | $0.00/1M | $0.00/1M |
| Specifications | ||
| Organization | Alibaba | Sarvam |
| Release Date | Apr 28, 2025 | May 23, 2025 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Reasoning Score | 31.2 | 30.6 |
| Intelligence | 6.8 | 3.0 |
| Standard Benchmarks | ||
| GPQA | 39.8% | 41.6% |
| MMLU Pro | 58.6% | 69.6% |
| HLE | 3.7% | 3.3% |
| LiveCodeBench | 23.3% | 29.5% |
| MATH 500 | 84.3% | 84.7% |
| AIME (Original) | 21.3% | 20.3% |
| SciCode | 16.7% | 17.8% |
| LCR | — | 0.0% |
| IFBench | — | 31.8% |
| TAU-bench v2 | — | 0.0% |
| TerminalBench Hard | — | 2.3% |
Key Takeaways
Qwen3 4B (Non-reasoning) offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen3 4B (Non-reasoning) has the strongest reasoning profile with a 31.2 reasoning score,combining the available reasoning-heavy benchmarks.
All models support context windows of ∞+ tokens,suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
Qwen3 4B (Non-reasoning)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
M (Reasoning)
- General-purpose AI
- Versatile applications
