Model Comparison
Pixtral Large
vs. Qwen3.5 122B A10B (Reasoning)
Comparing 2 AI models · 12 benchmarks · Mistral, Alibaba
Recommended Pick
AlQwen3.5 122B A10B (Reasoning)13 metric winsStrongest on: Value, Input price, Output price
Best Value
Qwen3.5 122B A10B (Reasoning)
100.0 value score
47.1 reasoning / $1.10/1M
Lowest Price
Qwen3.5 122B A10B (Reasoning)
$0.40/1M input price
Best Reasoning
Qwen3.5 122B A10B (Reasoning)
47.1 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3.5 122B A10B (Reasoning)
45.7 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Best value
Qwen3.5 122B A10B (Reasoning) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen3.5 122B A10B (Reasoning) is 5.0x cheaper on input tokens than Pixtral Large.
Reasoning gap
Qwen3.5 122B A10B (Reasoning) leads Pixtral Large by 26.4 points on reasoning.
Top-pick rationale
Qwen3.5 122B A10B (Reasoning) wins 13 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.
Pixtral Large
Mistral
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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Qwen3.5 122B A10B (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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Which answer was more useful?
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Full Comparison
| Metric | Mi Pixtral Large | Top Pick Al Qwen3.5 122B A10B (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $2.00/1M | $0.40/1M |
| Output Cost | $6.00/1M | $3.20/1M |
| Blended (3:1) | $3.00/1M | $1.10/1M |
| Specifications | ||
| Organization | Mistral | Alibaba |
| Release Date | Nov 18, 2024 | Feb 24, 2026 |
| Performance & Speed | ||
| Throughput | — | 140.3 tok/s |
| TTFT | — | 1105ms |
| Latency | — | 15357ms |
| Composite Indices | ||
| Value Score | 16.1 | 100.0 |
| Reasoning Score | 20.7 | 47.1 |
| Intelligence | 8.1 | 32.3 |
| Coding | — | 45.7 |
| Math | 2.3 | — |
| Standard Benchmarks | ||
| GPQA | 50.5% | 85.7% |
| MMLU Pro | 70.1% | — |
| HLE | 3.6% | 23.4% |
| LiveCodeBench | 26.1% | — |
| MATH 500 | 71.4% | — |
| AIME 2025 | 2.3% | — |
| AIME (Original) | 7.0% | — |
| SciCode | 29.2% | 42.0% |
| LCR | 10.3% | 66.7% |
| IFBench | 34.5% | 75.7% |
| TAU-bench v2 | 36.5% | 93.6% |
| TerminalBench Hard | — | 31.1% |
Key Takeaways
Qwen3.5 122B A10B (Reasoning) offers the best value at $0.40/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen3.5 122B A10B (Reasoning) has the strongest reasoning profile with a 47.1 reasoning score,combining the available reasoning-heavy benchmarks.
Qwen3.5 122B A10B (Reasoning) reaches a 45.7 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
Pixtral Large
- General-purpose AI
- Versatile applications
Qwen3.5 122B A10B (Reasoning)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
