Claude Opus 4.7 vs Qwen3.8 Max
Model Markets Rankings
Intelligence, Cost, and Efficiency
| Ranking | Claude Opus 4.7 | Qwen3.8-Max |
|---|---|---|
| IntelligenceHigher is better · MM Intelligence v1.2 | #6 of 2278.9 score | UnrankedNot in the 22-model eligible cohort |
| CostLower is better · Published-token output estimate | #31 of 36$0.286 per LiveBench case | #19 of 36$0.107 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.0 | #12 of 2251.8 score | UnrankedNot in the 22-model eligible cohort |
Ranks come from the current complete eligible cohorts. Green highlights appear only when both models are ranked in the same metric. Missing required inputs remain unranked, and the three dimensions are not collapsed into an overall winner.
Benchmark Performance
Available Benchmarks
| Benchmark | Claude Opus 4.7 | Qwen3.8-Max |
|---|---|---|
| LMArena Agent Arenaagent-2026-08-31-011508720696 · outcome_score · statistical tie | 6.33100% of row best · score · Claude Opus 4.7; 95% CI [4.91001873, 7.74575053]; sessions 37121; observations 1470793; rank 10 | 6.01100% of row best · score · Qwen3.8 Max; 95% CI [4.88117795, 7.13339178]; sessions 18386; observations 1372080; rank 14 |
| LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · statistical tie | 1,483.21100% of row best · rating · claude-opus-4-7; 95% CI [1479.33960820, 1487.07067536]; votes 61256; rank 10 | 1,479.56100% of row best · rating · qwen3.8-max; 95% CI [1473.34740586, 1485.77213629]; votes 13136; rank 12 |
| LMArena Vision Arenavision-2026-08-27-011508720696 · arena_rating · statistical tie | 1,316.40100% of row best · rating · claude-opus-4-7-high; 95% CI [1309.56408453, 1323.22870707]; votes 21137; rank 4 | 1,312.86100% of row best · rating · qwen3.8-max; 95% CI [1304.57707433, 1321.13715544]; votes 7244; rank 6 |
| LiveBench2026-06-25 · overall · leader | 80.9799% of row best · percent · claude-opus-4-7-xhigh-effort · 11,460 output tokens / case | 81.88100% of row best · percent · qwen3.8-max · 21,637 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 | 81.0695% of row best · points · Qwen3.8 Max · 23,334 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above · 3 ties | 1 benchmark winTied overall | 1 benchmark winTied overall |
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 | Qwen3.8-Max |
|---|---|---|
| Developer | Anthropic | Qwen |
| Family | Claude 4 | Qwen3 8 Max |
| Model | Claude Opus 4.7 | Qwen3.8-Max |
| Version | Claude Opus 4.7 | Qwen3.8-Max |
| Lifecycle | active | active |
| Released | 2026-04-16 | Unknown |
| Knowledge cutoff | 2026-01-01 | Unknown |
| Input modalities | Text, Image | Text, Image, Video |
| Output modalities | Text | Text |
| Context window | 1,000K | 1,000K |
| Total parameters | Unknown | 2.4T |
| 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), Fireworks Ai (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | agents, chat, reasoning, structured_outputs, tools, vision |
13 comparable fields · 7 material differences · Pair passes the primary-source comparison gate
Claude Opus 4.7 Capabilities
Qwen3.8 Max Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
Claude Opus 4.7Anthropic | vs |  GPT-6 AstraOpenAI | cross-developer peersimage, text |
Claude Fable 5.1Anthropic | vs | Claude Opus 4.7Anthropic | family variantsimage, text |
Claude Opus 4.7Anthropic | vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
Claude Opus 4.7Anthropic | vs |  DeepSeek-V4-ProDeepSeek | cross-developer peerstext |
Claude Opus 4.7Anthropic | vs | Grok 4.6xAI | cross-developer peersimage, text |
Claude Opus 4.7Anthropic | vs |  Kimi-K3Moonshot AI | cross-developer peersimage, text |
 MiniMax-M3MiniMax | vs | Claude Opus 4.7Anthropic | cross-developer peersimage, text |
Claude Opus 4.7Anthropic | vs |  GLM-5.3Z.ai | cross-developer peerstext |
Claude Opus 4.7Anthropic | vs |  Hy4 previewTencent | cross-developer peerstext |
Claude Opus 4.7Anthropic | vs | Seed 2.1 ProByteDance Seed | cross-developer peersimage, text |
Claude Opus 4.7Anthropic | vs |  Mistral Large 3Mistral AI | cross-developer peersimage, text |
Claude Opus 4.7Anthropic | vs | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Claude Opus 4.7 vs Qwen3.8 Max FAQs
Is Claude Opus 4.7 or Qwen3.8 Max better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Claude Opus 4.7 and Qwen3.8 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 Qwen3.8 Max?+
Claude Opus 4.7 is $5.00 and Qwen3.8 Max is $1.65 per million tokens, so Qwen3.8 Max is cheaper on this metric. Claude Opus 4.7 is $25.00 and Qwen3.8 Max is $4.951 per million tokens, so Qwen3.8 Max is cheaper on this metric.
Which has a larger context window, Claude Opus 4.7 or Qwen3.8 Max?+
Neither model has a larger sourced context window in this comparison. Claude Opus 4.7 is 1,000K and Qwen3.8 Max is 1,000K.
Which performs better in benchmarks, Claude Opus 4.7 or Qwen3.8 Max?+
There is no overall benchmark winner: The verified common benchmarks do not produce a majority winner.
Can Claude Opus 4.7 or Qwen3.8 Max be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Claude Opus 4.7 is not marked open weight; Qwen3.8 Max is not marked open weight.
Can Claude Opus 4.7 and Qwen3.8 Max understand images?+
Claude Opus 4.7 is documented with image input; Qwen3.8 Max is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Claude Opus 4.7 or Qwen3.8 Max?+
Qwen3.8 Max has the larger sourced maximum output: Claude Opus 4.7 supports 128K and Qwen3.8 Max supports 131K output tokens.
Do Claude Opus 4.7 and Qwen3.8 Max support reasoning and tool use?+
Claude Opus 4.7: reasoning, tool calling, and image input. Qwen3.8 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 Qwen3.8 Max?+
Claude Opus 4.7 has 2 sourced provider routes; Qwen3.8 Max has 4, so Qwen3.8 Max has broader tracked availability.
Which offers better value, Claude Opus 4.7 or Qwen3.8 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.