Claude Opus 4.8 vs Qwen3.7 Plus
At a Glance
| Compare | Claude Opus 4.8Anthropic |  Qwen3.7 PlusQwen |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #18 of 4670.1 score · 3/3 sources · complete | UnrankedNot in the 46-model eligible cohort |
| CostLower is better · Published-token output estimate | #42 of 44$0.604 per LiveBench case | UnrankedNot in the 44-model eligible cohort |
| EfficiencyHigher is better · MM Efficiency v1.5 | #35 of 3840.5 score · 3/3 sources · complete | UnrankedNot in the 38-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $5.00Anthropic ↗ · Sep 3, 2026 | $0.32Openrouter ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | $25.00Anthropic ↗ · Sep 3, 2026 | $1.28Openrouter ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 1,000K | 1,000K |
| Model facts checked | Aug 29, 2026View model evidence → | Aug 29, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
| Benchmark | Claude Opus 4.8 | Qwen3.7-Plus |
|---|---|---|
| LMArena Agent Arenaagent-2026-09-15-d25aabda0010 · outcome_score · leader | 8.19100% of row best · score · Claude Opus 4.8 (High); 95% CI [6.91963673, 9.45737628]; sessions 39731; observations 2097389; rank 6 | -6.0887% of row best · score · Qwen3.7 Plus; 95% CI [-7.29245632, -4.87295146]; sessions 20905; observations 993739; rank 40 |
| LMArena Document Arenadocument-2026-09-13-d25aabda0010 · arena_rating · leader | 1,464.07100% of row best · rating · claude-opus-4-8; 95% CI [1457.10320334, 1471.03216030]; votes 12128; rank 19 | 1,444.1499% of row best · rating · qwen3.7-plus; 95% CI [1435.12302267, 1453.16578005]; votes 4591; rank 30 |
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · statistical tie | 1,452.66100% of row best · rating · claude-opus-4-8; 95% CI [1448.52490690, 1456.79817098]; votes 53446; rank 40 | 1,454.20100% of row best · rating · qwen3.7-plus; 95% CI [1449.75378609, 1458.63820942]; votes 39334; rank 39 |
| LMArena Vision Arenavision-2026-09-13-d25aabda0010 · arena_rating · statistical tie | 1,288.23100% of row best · rating · claude-opus-4-8; 95% CI [1281.27991800, 1295.18871241]; votes 15801; rank 25 | 1,277.8199% of row best · rating · qwen3.7-plus; 95% CI [1270.28208926, 1285.34488566]; votes 10656; rank 31 |
| Overall ResultCounted from the protocol-matched rows above · 2 ties | 2 benchmark winsNo overall winner | 0 benchmark winsNo overall winner |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Side-by-Side Facts
| Field | Claude Opus 4.8 | Qwen3.7-Plus |
|---|---|---|
| Developer | Anthropic | Qwen |
| Family | Claude 4 8 | Qwen3 7 Plus |
| Model | Claude Opus 4.8 | Qwen3.7-Plus |
| Version | Claude Opus 4.8 | Qwen3.7-Plus |
| Lifecycle | active | active |
| Released | 2026-05-28 | 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 | 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), Fireworks Ai (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, reasoning, tools | agents, chat, computer-use, reasoning, structured_outputs, tools, vision |
Claude Opus 4.8 Capabilities
Qwen3.7 Plus Capabilities
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Primary Evidence
Sources and Freshness
Questions
Claude Opus 4.8 vs Qwen3.7 Plus FAQs
Is Claude Opus 4.8 or Qwen3.7 Plus better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Claude Opus 4.8 and Qwen3.7 Plus, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Claude Opus 4.8 or Qwen3.7 Plus?+
Claude Opus 4.8 is $5.00 and Qwen3.7 Plus is $0.32 per million tokens, so Qwen3.7 Plus is cheaper on this metric. Claude Opus 4.8 is $25.00 and Qwen3.7 Plus is $1.28 per million tokens, so Qwen3.7 Plus is cheaper on this metric.
Which has a larger context window, Claude Opus 4.8 or Qwen3.7 Plus?+
Neither model has a larger sourced context window in this comparison. Claude Opus 4.8 is 1,000K and Qwen3.7 Plus is 1,000K.
Which performs better in benchmarks, Claude Opus 4.8 or Qwen3.7 Plus?+
There is no overall benchmark winner: An overall winner requires at least two decisive benchmarks from at least two original publishers.
Can Claude Opus 4.8 or Qwen3.7 Plus be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Claude Opus 4.8 is not marked open weight; Qwen3.7 Plus is not marked open weight.
Can Claude Opus 4.8 and Qwen3.7 Plus understand images?+
Claude Opus 4.8 is documented with image input; Qwen3.7 Plus is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Claude Opus 4.8 or Qwen3.7 Plus?+
Qwen3.7 Plus has the larger sourced maximum output: Claude Opus 4.8 supports 128K and Qwen3.7 Plus supports 131K output tokens.
Do Claude Opus 4.8 and Qwen3.7 Plus support reasoning and tool use?+
Claude Opus 4.8: reasoning, tool calling, and image input. Qwen3.7 Plus: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Claude Opus 4.8 or Qwen3.7 Plus?+
Claude Opus 4.8 has 2 sourced provider routes; Qwen3.7 Plus has 4, so Qwen3.7 Plus has broader tracked availability.
Which offers better value, Claude Opus 4.8 or Qwen3.7 Plus?+
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.