Model Comparison
Qwen3 235B A22B (Non-reasoning)
vs. 30B (high)
Comparing 2 AI models · 12 benchmarks · Alibaba, Sarvam
Recommended Pick
Sa30B (high)9 metric winsStrongest on: Value, Input price, Output price
Best Value
30B (high)
100.0 value score
25.6 reasoning / $0.05/1M
Lowest Price
30B (high)
$0.03/1M input price
Best Reasoning
Qwen3 235B A22B (Non-reasoning)
35.3 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
Best value
30B (high) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
30B (high) is 26.9x cheaper on input tokens than Qwen3 235B A22B (Non-reasoning).
Speed gap
30B (high) generates about 3.4x as many tokens per second as Qwen3 235B A22B (Non-reasoning).
Reasoning gap
Qwen3 235B A22B (Non-reasoning) leads 30B (high) by 9.7 points on reasoning.
Top-pick rationale
30B (high) wins 9 measurable categories, including Value, Input price, Output price, Blended price.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3 235B A22B (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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30B (high)
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 235B A22B (Non-reasoning) | Top Pick Sa 30B (high) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.70/1M | $0.03/1M |
| Output Cost | $2.80/1M | $0.11/1M |
| Blended (3:1) | $1.22/1M | $0.05/1M |
| Specifications | ||
| Organization | Alibaba | Sarvam |
| Release Date | Apr 28, 2025 | Mar 6, 2026 |
| Performance & Speed | ||
| Throughput | 65.1 tok/s | 221.1 tok/s |
| TTFT | 1236ms | 1134ms |
| Latency | 1236ms | 10180ms |
| Composite Indices | ||
| Value Score | 5.3 | 100.0 |
| Reasoning Score | 35.3 | 25.6 |
| Intelligence | 10.9 | 6.6 |
| Math | 23.7 | — |
| Standard Benchmarks | ||
| GPQA | 61.3% | 63.3% |
| MMLU Pro | 76.2% | — |
| HLE | 4.7% | 7.0% |
| LiveCodeBench | 34.3% | — |
| MATH 500 | 90.2% | — |
| AIME 2025 | 23.7% | — |
| AIME (Original) | 32.7% | — |
| SciCode | 29.9% | 19.2% |
| LCR | 0.0% | 0.0% |
| IFBench | 36.6% | 26.5% |
| TAU-bench v2 | 27.2% | 34.5% |
| TerminalBench Hard | 6.1% | 2.3% |
Key Takeaways
30B (high) offers the best value at $0.03/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen3 235B A22B (Non-reasoning) has the strongest reasoning profile with a 35.3 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 235B A22B (Non-reasoning)
- Complex reasoning tasks
- Research & analysis
30B (high)
- Cost-sensitive applications
- High-volume processing
