Model Comparison
o3-mini (high)
vs. Qwen3 235B A22B 2507 Instruct
Comparing 2 AI models · 12 benchmarks · OpenAI, Alibaba
Recommended Pick
AlQwen3 235B A22B 2507 Instruct11 metric winsStrongest on: Value, Input price, Output price
Best Value
Qwen3 235B A22B 2507 Instruct
100.0 value score
59.6 reasoning / $1.22/1M
Lowest Price
Qwen3 235B A22B 2507 Instruct
$0.70/1M input price
Best Reasoning
Qwen3 235B A22B 2507 Instruct
59.6 reasoning score
Blends available reasoning benchmarks
Best for Coding
o3-mini (high)
16.3 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 235B A22B 2507 Instruct has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen3 235B A22B 2507 Instruct is 1.6x cheaper on input tokens than o3-mini (high).
Speed gap
o3-mini (high) generates about 3.7x as many tokens per second as Qwen3 235B A22B 2507 Instruct.
Reasoning gap
Qwen3 235B A22B 2507 Instruct leads o3-mini (high) by 1.7 points on reasoning.
Top-pick rationale
Qwen3 235B A22B 2507 Instruct wins 11 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.
o3-mini (high)
OpenAI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Qwen3 235B A22B 2507 Instruct
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Chat with leading AI models
Use Claude, ChatGPT, Gemini alongside with EU-Hosted Models like Deepseek, Qwen & Kimi.
EU-hosted inference
Servers in Germany & Finland. Designed to meet strict GDPR and ISO 27001 compliance requirements.
Full Comparison
| Metric | Op o3-mini (high) | Top Pick Al Qwen3 235B A22B 2507 Instruct |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $1.10/1M | $0.70/1M |
| Output Cost | $4.40/1M | $2.80/1M |
| Blended (3:1) | $1.93/1M | $1.22/1M |
| Specifications | ||
| Organization | OpenAI | Alibaba |
| Release Date | Jan 31, 2025 | Jul 21, 2025 |
| Performance & Speed | ||
| Throughput | 238.7 tok/s | 65.2 tok/s |
| TTFT | 18398ms | 1154ms |
| Latency | 18398ms | 1154ms |
| Composite Indices | ||
| Value Score | 61.9 | 100.0 |
| Reasoning Score | 57.9 | 59.6 |
| Intelligence | 15.6 | 18.2 |
| Coding | 16.3 | — |
| Math | — | 71.7 |
| Standard Benchmarks | ||
| GPQA | 77.3% | 75.3% |
| MMLU Pro | 80.2% | 82.8% |
| HLE | 12.3% | 10.6% |
| LiveCodeBench | 73.4% | 52.4% |
| MATH 500 | 98.5% | 98.0% |
| AIME 2025 | — | 71.7% |
| AIME (Original) | 86.0% | 71.7% |
| SciCode | 39.8% | 36.0% |
| LCR | 39.3% | 31.2% |
| IFBench | 67.1% | 46.1% |
| TAU-bench v2 | 31.3% | 33.3% |
| TerminalBench Hard | 6.1% | 15.2% |
Key Takeaways
Qwen3 235B A22B 2507 Instruct offers the best value at $0.70/1M,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.
o3-mini (high) reaches a 16.3 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
o3-mini (high)
- Code generation
- Software development
Qwen3 235B A22B 2507 Instruct
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
