Claude 3.7 SonnetvsQwen3.7-Max
Claude 3.7 Sonnet | Qwen3.7-Max | |
|---|---|---|
| API pricingUSD per 1M tokens · lower wins | ||
Input priceWhat you pay for everything you send the model — your question, plus any documents or earlier conversation you include with it. | — | $2.50 |
Output priceWhat you pay for the text the model writes back. It is normally the dearer half: producing an answer costs more than reading one. | — | $7.50 |
| Benchmarks | ||
BullshitBench v2Nonsense detection — Given a confidently-worded but nonsensical prompt, does the AI spot that it makes no sense and push back — instead of playing along and inventing an answer? The score is how often it clearly called out the nonsense. Higher is better. | 49% | 71% |
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | 68% | 92.4% |
| BenchmarksPublished by one model only | ||
SWE-Bench ProAgentic coding — Can the AI fix real bugs in real software? It's handed actual problems from open-source projects and has to write code that genuinely solves them. Higher is better. | — | 60.6% |
SWE-Bench VerifiedCoding — Real coding tasks pulled from open-source projects — the AI has to find and fix actual bugs. A human-checked version of the original SWE-Bench. Higher is better. | 62.3% | — |
LiveCodeBenchCompetitive coding — Coding problems published so recently the AI can't have seen them in training — a contamination-free test of raw programming skill. Higher is better. | — | 91.6% |
Terminal-Bench 2.0Agentic terminal coding — Can the AI work in a command-line terminal — running commands and finishing technical setup tasks the way a developer would? (Version 2.0 of the test.) Higher is better. | — | 69.7% |
MCP AtlasMulti-step tool use — Can the AI chain together many tools and steps to complete one bigger task, rather than doing just a single thing? Higher is better. | — | 76.4% |
Arena Elo (Text)Community preference — Real people chat with two anonymous AIs side by side and vote for the answer they prefer. Votes become a chess-style Elo rating on arena.ai — it measures which AI people actually like, not test scores. Higher is better. | — | 1475 |
| Overview | ||
| Company | Anthropic | Qwen |
| Release date | Feb 24 2025 | May 20 2026 |
| Access | Proprietary | Proprietary |
Frequently asked questions
Qwen3.7-Max leads Claude 3.7 Sonnet on 2 of the 2 benchmarks they both report (BullshitBench v2, GPQA Diamond). Only Qwen3.7-Max has a verified first-party API price: $2.50 per million input tokens and $7.50 per million output tokens. No pay-as-you-go API rate is tracked for Claude 3.7 Sonnet. Claude 3.7 Sonnet shipped 450 days before Qwen3.7-Max, so benchmark comparisons should account for the intervening progress.
Published specifications for these two models are limited — see each model page for the latest details.
On BullshitBench v2, Qwen3.7-Max leads at 71% vs Claude 3.7 Sonnet at 49%. On GPQA Diamond, Qwen3.7-Max leads at 92.4% vs Claude 3.7 Sonnet at 68%.
Claude 3.7 Sonnet was released by Anthropic on Feb 24 2025.
Qwen3.7-Max was released by Qwen on May 20 2026.
Qwen3.7-Max leads on GPQA Diamond — Claude 3.7 Sonnet 68% vs Qwen3.7-Max 92.4%.
Only Qwen3.7-Max has a verified first-party API price: $2.50 per million input tokens and $7.50 per million output tokens. No pay-as-you-go API rate is tracked for Claude 3.7 Sonnet. Rates are pay-as-you-go API prices verified on August 18, 2026.