Compare models
Pick up to 4 models for a side-by-side spec sheet. Hover any dotted metric name for what the test measures. Best value in each row is highlighted.
Claude Haiku 4.5Qwen3 Coder 30B A3B Instruct
| Claude Haiku 4.5 Anthropic | Qwen3 Coder 30B A3B Instruct Alibaba (Qwen) | |
|---|---|---|
| Pricing | ||
| Input $/1M | $1.00 | $0.07 |
| Output $/1M | $5.00 | $0.27 |
| Blended $/1M (3:1) | $2.00 | $0.12 |
| Cache read $/1M | $0.10 | — |
| Cache write $/1M | $1.25 | — |
| Quality indices | ||
| Intelligence Index | 29.6 | 13.6 |
| Coding Index | 43.9 | — |
| Math Index | — | 29 |
| Agentic Index | 16.4 | — |
| Speed & latency | ||
| Output speed (tok/s) | — | 103 |
| Time to first token | — | 1.61s |
| Time to first answer token | — | 1.61s |
| Benchmarks (Artificial Analysis) | ||
| MMLU-Pro | — | 70.6% |
| GPQA Diamond | — | 51.6% |
| Humanity's Last Exam | — | 4.0% |
| LiveCodeBench | — | 40.3% |
| SciCode | — | 27.8% |
| MATH-500 | — | 89.3% |
| AIME | — | 29.7% |
| AIME 2025 | — | 29.0% |
| IFBench | — | 32.7% |
| AA-LCR (Long Context Reasoning) | — | 29.0% |
| Terminal-Bench Hard | — | 15.2% |
| τ²-Bench (Telecom) | — | 34.5% |
| Design Arena (Elo) | ||
| Website | 1,149 | 1,115 |
| UI components | 1,142 | 1,089 |
| Data viz | 1,160 | 1,121 |
| SVG | 1,072 | — |
| 3D | 1,131 | — |
| Game dev | 1,155 | — |
| Code categories | 1,148 | — |
| ASCII art | 1,182 | — |
| Specs | ||
| Context window | 200K | 262K |
| Max output tokens | 64K | 33K |
| Input modalities | text, image, file | text |
| Tokenizer | Claude | Qwen3 |