Model Comparison
Pixtral Large
vs. Qwen3 14B (Non-reasoning)
Comparing 2 AI models · 12 benchmarks · Mistral, Alibaba
Recommended Pick
AlQwen3 14B (Non-reasoning)12 metric winsStrongest on: Value, Input price, Output price
Best Value
Qwen3 14B (Non-reasoning)
100.0 value score
41.3 reasoning / $0.61/1M
Lowest Price
Qwen3 14B (Non-reasoning)
$0.35/1M input price
Best Reasoning
Qwen3 14B (Non-reasoning)
41.3 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
Qwen3 14B (Non-reasoning) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen3 14B (Non-reasoning) is 5.7x cheaper on input tokens than Pixtral Large.
Reasoning gap
Qwen3 14B (Non-reasoning) leads Pixtral Large by 20.6 points on reasoning.
Top-pick rationale
Qwen3 14B (Non-reasoning) wins 12 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 14B (Non-reasoning)
Alibaba
TTFT
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Time
—
tok/s
—
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 14B (Non-reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $2.00/1M | $0.35/1M |
| Output Cost | $6.00/1M | $1.40/1M |
| Blended (3:1) | $3.00/1M | $0.61/1M |
| Specifications | ||
| Organization | Mistral | Alibaba |
| Release Date | Nov 18, 2024 | Apr 28, 2025 |
| Performance & Speed | ||
| Throughput | — | 64.4 tok/s |
| TTFT | — | 1006ms |
| Latency | — | 1006ms |
| Composite Indices | ||
| Value Score | 10.2 | 100.0 |
| Reasoning Score | 20.7 | 41.3 |
| Intelligence | 8.1 | 7.0 |
| Math | 2.3 | 58.0 |
| Standard Benchmarks | ||
| GPQA | 50.5% | 47.0% |
| MMLU Pro | 70.1% | 67.5% |
| HLE | 3.6% | 4.2% |
| LiveCodeBench | 26.1% | 28.0% |
| MATH 500 | 71.4% | 87.1% |
| AIME 2025 | 2.3% | 58.0% |
| AIME (Original) | 7.0% | 28.0% |
| SciCode | 29.2% | 26.5% |
| LCR | 10.3% | 0.0% |
| IFBench | 34.5% | 23.9% |
| TAU-bench v2 | 36.5% | 32.2% |
| TerminalBench Hard | — | 5.3% |
Key Takeaways
Qwen3 14B (Non-reasoning) offers the best value at $0.35/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen3 14B (Non-reasoning) has the strongest reasoning profile with a 41.3 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
Pixtral Large
- General-purpose AI
- Versatile applications
Qwen3 14B (Non-reasoning)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
