Model Comparison
Qwen3 235B A22B 2507 Instruct
vs. 30B (high)
Comparing 2 AI models · 12 benchmarks · Alibaba, Sarvam
Recommended Pick
AlQwen3 235B A22B 2507 Instruct9 metric winsStrongest on: Latency, Reasoning, Intelligence
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 2507 Instruct
59.6 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 2507 Instruct.
Speed gap
30B (high) generates about 3.3x as many tokens per second as Qwen3 235B A22B 2507 Instruct.
Reasoning gap
Qwen3 235B A22B 2507 Instruct leads 30B (high) by 34.0 points on reasoning.
Top-pick rationale
Qwen3 235B A22B 2507 Instruct wins 9 measurable categories, including Latency, Reasoning, Intelligence, GPQA.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3 235B A22B 2507 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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30B (high)
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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Full Comparison
| Metric | Top Pick Al Qwen3 235B A22B 2507 Instruct | 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 | Jul 21, 2025 | Mar 6, 2026 |
| Performance & Speed | ||
| Throughput | 65.8 tok/s | 217.4 tok/s |
| TTFT | 1201ms | 1136ms |
| Latency | 1201ms | 10335ms |
| Composite Indices | ||
| Value Score | 8.9 | 100.0 |
| Reasoning Score | 59.6 | 25.6 |
| Intelligence | 18.2 | 6.6 |
| Math | 71.7 | — |
| Standard Benchmarks | ||
| GPQA | 75.3% | 63.3% |
| MMLU Pro | 82.8% | — |
| HLE | 10.6% | 7.0% |
| LiveCodeBench | 52.4% | — |
| MATH 500 | 98.0% | — |
| AIME 2025 | 71.7% | — |
| AIME (Original) | 71.7% | — |
| SciCode | 36.0% | 19.2% |
| LCR | 31.2% | 0.0% |
| IFBench | 46.1% | 26.5% |
| TAU-bench v2 | 33.3% | 34.5% |
| TerminalBench Hard | 15.2% | 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 2507 Instruct has the strongest reasoning profile with a 59.6 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 2507 Instruct
- Complex reasoning tasks
- Research & analysis
30B (high)
- Cost-sensitive applications
- High-volume processing
