Model Comparison
Qwen3 Omni 30B A3B Instruct
vs. M (Reasoning)
Comparing 2 AI models · 0 benchmarks · Alibaba, Sarvam
Recommended Pick
AlQwen3 Omni 30B A3B Instruct2 metric winsStrongest on: Reasoning, Intelligence
Lowest Price
M (Reasoning)
$0.00/1M input price
Best Reasoning
Qwen3 Omni 30B A3B Instruct
4.8 reasoning score
Blends available reasoning benchmarks
Differences That Matter
Price gap
M (Reasoning) is ∞x cheaper on input tokens than Qwen3 Omni 30B A3B Instruct.
Reasoning gap
Qwen3 Omni 30B A3B Instruct leads M (Reasoning) by 2.2 points on reasoning.
Top-pick rationale
Qwen3 Omni 30B A3B Instruct wins 2 measurable categories, including Reasoning, Intelligence.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3 Omni 30B A3B Instruct
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
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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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OpenAI-compatible inference
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Full Comparison
| Metric | Top Pick Al Qwen3 Omni 30B A3B Instruct | Sa M (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.25/1M | $0.00/1M |
| Output Cost | $0.97/1M | $0.00/1M |
| Blended (3:1) | $0.43/1M | — |
| Specifications | ||
| Organization | Alibaba | Sarvam |
| Release Date | Sep 22, 2025 | May 23, 2025 |
| Performance & Speed | ||
| Throughput | 92.0 tok/s | — |
| TTFT | 1920ms | — |
| Latency | 1920ms | — |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 4.8 | 2.6 |
| Intelligence | 4.8 | 2.6 |
Key Takeaways
M (Reasoning) offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen3 Omni 30B A3B Instruct has the strongest reasoning profile with a 4.8 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 Omni 30B A3B Instruct
- Complex reasoning tasks
- Research & analysis
M (Reasoning)
- Cost-sensitive applications
- High-volume processing
