Model Comparison
Mixtral 8x22B Instruct
vs. Qwen2.5 Max
Comparing 2 AI models · 7 benchmarks · Mistral, Alibaba
Recommended Pick
Al Qwen2.5 Max 9 metric wins Strongest on: Reasoning, Intelligence, GPQA
Lowest Price
Mixtral 8x22B Instruct
$0.00/1M input price
Best Reasoning
Qwen2.5 Max
37.3 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
Price gap
Mixtral 8x22B Instruct is ∞x cheaper on input tokens than Qwen2.5 Max.
Reasoning gap
Qwen2.5 Max leads Mixtral 8x22B Instruct by 16.9 points on reasoning.
Top-pick rationale
Qwen2.5 Max wins 9 measurable categories, including Reasoning, Intelligence, GPQA, MMLU Pro.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Mixtral 8x22B Instruct
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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Qwen2.5 Max
Alibaba
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?
Full Comparison
| Metric | Mi Mixtral 8x22B Instruct | Top Pick Al Qwen2.5 Max |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $1.60/1M |
| Output Cost | $0.00/1M | $6.40/1M |
| Blended (3:1) | — | $2.80/1M |
| Specifications | ||
| Organization | Mistral | Alibaba |
| Release Date | Apr 17, 2024 | Jan 28, 2025 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 20.3 | 37.3 |
| Intelligence | 9.8 | 16.3 |
| Standard Benchmarks | ||
| GPQA | 33.2% | 58.7% |
| MMLU Pro | 53.7% | 76.2% |
| HLE | 4.1% | 4.5% |
| LiveCodeBench | 14.8% | 35.9% |
| MATH 500 | 54.5% | 83.5% |
| AIME (Original) | 0.0% | 23.3% |
| SciCode | 18.8% | 33.7% |
Key Takeaways
Mixtral 8x22B Instruct offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
Qwen2.5 Max has the strongest reasoning profile with a 37.3 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
Mixtral 8x22B Instruct
- Cost-sensitive applications
- High-volume processing
Qwen2.5 Max
- Complex reasoning tasks
- Research & analysis
