Claude Opus 4.7 vs Qwen3.7 Max
Benchmark Performance
Available Benchmarks
| Benchmark | Claude Opus 4.7 | Qwen3.7 Max |
|---|---|---|
| LMArena Agent Arenaagent-2026-08-31-011508720696 · outcome_score · leader | 6.33100% of row best · score · Claude Opus 4.7; 95% CI [4.91001873, 7.74575053]; sessions 37121; observations 1470793; rank 10 | -1.3693% of row best · score · Qwen3.7 Max; 95% CI [-2.27613811, -0.44192410]; sessions 35069; observations 1551158; rank 35 |
| LiveBench2026-06-25 · overall · leader | 80.97100% of row best · percent · claude-opus-4-7-xhigh-effort · 11,460 output tokens / case | 77.5096% of row best · percent · qwen3.7-max · 12,909 output tokens / case |
| ToneBench2026-08-28-10-task-cd9819ab6e4d · overall_score · leader | 85.49100% of row best · points · Claude Opus 4.7 · 2,578 output tokens / case | 81.2695% of row best · points · Qwen3.7 Max (default) · 8,636 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 3 benchmark winsOverall lead | 0 benchmark wins |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Technical Differences
Side-by-Side Facts
| Field | Claude Opus 4.7 | Qwen3.7 Max |
|---|---|---|
| Developer | Anthropic | Qwen |
| Family | Claude 4 | Qwen3 7 |
| Model | Claude Opus 4.7 | Qwen3.7 Max |
| Version | Claude Opus 4.7 | Qwen3.7 Max |
| Lifecycle | active | active |
| Released | 2026-04-16 | 2026-05-20 |
| Knowledge cutoff | 2026-01-01 | Unknown |
| Input modalities | Unknown | Text, Image, Video |
| Output modalities | Unknown | Text |
| Context window | 1,000,000 | 1,000,000 |
| Total parameters | Unknown | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | Yes | Yes |
| Self-hostable | No | No |
| Provider access | Anthropic (Standard), Deepinfra (Standard) | Alibaba Cloud Model Studio (Standard), Deepinfra (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | agents, chat, generation, reasoning, structured_outputs, tools, vision |
12 comparable fields · 7 material differences · Interactive comparison only; indexing gate not met
Claude Opus 4.7 Capabilities
Qwen3.7 Max Capabilities
Internal Comparison Graph
Related Comparisons
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|---|---|---|---|
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Seed 2.0 ProByteDance Seed | vs | Qwen3.7 MaxQwen | cross-developer peersimage, text, video |
Seed 2.1 EvolvingByteDance Seed | vs | Qwen3.7 MaxQwen | cross-developer peersimage, text, video |
Seed 2.1 ProByteDance Seed | vs | Qwen3.7 MaxQwen | cross-developer peersimage, text, video |
Seed 2.1 TurboByteDance Seed | vs | Qwen3.7 MaxQwen | cross-developer peersimage, text, video |
Claude Opus 4.5Anthropic | vs | Claude Opus 4.7Anthropic | family variantsimage, text |
Claude Opus 4.7Anthropic | vs | Claude Sonnet 4.6Anthropic | family variantsimage, text |
Primary Evidence
Sources and Freshness
Questions
Claude Opus 4.7 vs Qwen3.7 Max FAQs
Is Claude Opus 4.7 or Qwen3.7 Max better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Claude Opus 4.7 and Qwen3.7 Max, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Claude Opus 4.7 or Qwen3.7 Max?+
Claude Opus 4.7 is $5.00 and Qwen3.7 Max is $1.475 per million tokens, so Qwen3.7 Max is cheaper on this metric. Claude Opus 4.7 is $25.00 and Qwen3.7 Max is $4.425 per million tokens, so Qwen3.7 Max is cheaper on this metric.
Which has a larger context window, Claude Opus 4.7 or Qwen3.7 Max?+
Neither model has a larger sourced context window in this comparison. Claude Opus 4.7 is 1,000,000 and Qwen3.7 Max is 1,000,000.
Which performs better in benchmarks, Claude Opus 4.7 or Qwen3.7 Max?+
Claude Opus 4.7 leads the current overall benchmark count. The result uses 3 protocol-matched benchmarks from 3 publishers; it is not a universal quality score.
Can Claude Opus 4.7 or Qwen3.7 Max be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Claude Opus 4.7 is not marked open weight; Qwen3.7 Max is not marked open weight.
Can Claude Opus 4.7 and Qwen3.7 Max understand images?+
Claude Opus 4.7 is not documented with image input; Qwen3.7 Max is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Claude Opus 4.7 or Qwen3.7 Max?+
Claude Opus 4.7 has the larger sourced maximum output: Claude Opus 4.7 supports 128,000 and Qwen3.7 Max supports 65,536 output tokens.
Do Claude Opus 4.7 and Qwen3.7 Max support reasoning and tool use?+
Claude Opus 4.7: reasoning and tool calling. Qwen3.7 Max: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Claude Opus 4.7 or Qwen3.7 Max?+
Claude Opus 4.7 has 2 sourced provider routes; Qwen3.7 Max has 4, so Qwen3.7 Max has broader tracked availability.
Which offers better value, Claude Opus 4.7 or Qwen3.7 Max?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.