Model Comparison
GPT-5 Codex (high)
vs. Qwen2.5 Turbo
Comparing 2 AI models · 12 benchmarks · OpenAI, Alibaba
Recommended Pick
Op GPT-5 Codex (high) 8 metric wins Strongest on: Throughput, Reasoning, Intelligence
Best Value
Qwen2.5 Turbo
100.0 value score
29.9 reasoning / $0.09/1M
Lowest Price
Qwen2.5 Turbo
$0.05/1M input price
Best Reasoning
GPT-5 Codex (high)
70.3 reasoning score
Blends available reasoning benchmarks
Best for Coding
GPT-5 Codex (high)
38.9 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
Qwen2.5 Turbo has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen2.5 Turbo is 25x cheaper on input tokens than GPT-5 Codex (high).
Speed gap
GPT-5 Codex (high) generates about 2.1x as many tokens per second as Qwen2.5 Turbo.
Reasoning gap
GPT-5 Codex (high) leads Qwen2.5 Turbo by 40.3 points on reasoning.
Top-pick rationale
GPT-5 Codex (high) wins 8 measurable categories, including Throughput, Reasoning, Intelligence, GPQA.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
GPT-5 Codex (high)
OpenAI
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 Turbo
Alibaba
TTFT
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Time
—
tok/s
—
Tokens
—
Cost
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Which answer was more useful?
Full Comparison
| Metric | Top Pick Op GPT-5 Codex (high) | Al Qwen2.5 Turbo |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $1.25/1M | $0.05/1M |
| Output Cost | $10.00/1M | $0.20/1M |
| Blended (3:1) | $3.44/1M | $0.09/1M |
| Specifications | ||
| Organization | OpenAI | Alibaba |
| Release Date | Sep 23, 2025 | Nov 18, 2024 |
| Performance & Speed | ||
| Throughput | 178.1 tok/s | 83.3 tok/s |
| TTFT | 11248ms | 1224ms |
| Latency | 11248ms | 1224ms |
| Composite Indices | ||
| Value Score | 6.0 | 100.0 |
| Reasoning Score | 70.3 | 29.9 |
| Intelligence | 44.6 | 12.0 |
| Coding | 38.9 | — |
| Math | 98.7 | — |
| Standard Benchmarks | ||
| GPQA | 83.7% | 41.0% |
| MMLU Pro | 86.5% | 63.3% |
| HLE | 25.6% | 4.2% |
| LiveCodeBench | 84.0% | 16.3% |
| MATH 500 | — | 80.5% |
| AIME 2025 | 98.7% | — |
| AIME (Original) | — | 12.0% |
| SciCode | 40.9% | 15.3% |
| LCR | 69.0% | — |
| IFBench | 74.1% | — |
| TAU-bench v2 | 86.8% | — |
| TerminalBench Hard | 37.9% | — |
Key Takeaways
Qwen2.5 Turbo offers the best value at $0.05/1M, making it ideal for high-volume applications and cost-conscious projects.
GPT-5 Codex (high) has the strongest reasoning profile with a 70.3 reasoning score, combining the available reasoning-heavy benchmarks.
GPT-5 Codex (high) reaches a 38.9 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
GPT-5 Codex (high)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
Qwen2.5 Turbo
- Cost-sensitive applications
- High-volume processing
