Claude Sonnet 4.6 vs Qwen3.7 Plus
At a Glance
| Compare | Claude Sonnet 4.6Anthropic |  Qwen3.7 PlusQwen |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #24 of 4660.3 score · 3/3 sources · complete | UnrankedNot in the 46-model eligible cohort |
| CostLower is better · Published-token output estimate | #31 of 44$0.198 per LiveBench case | UnrankedNot in the 44-model eligible cohort |
| EfficiencyHigher is better · MM Efficiency v1.5 | #31 of 3847.3 score · 3/3 sources · complete | UnrankedNot in the 38-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $3.00Anthropic ↗ · Sep 3, 2026 | $0.32Openrouter ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | $15.00Anthropic ↗ · Sep 3, 2026 | $1.28Openrouter ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 1,000K | 1,000K |
| Model facts checked | Sep 3, 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 Sonnet 4.6 | Qwen3.7-Plus |
|---|---|---|
| LMArena Agent Arenaagent-2026-09-15-d25aabda0010 · outcome_score · leader | -1.52100% of row best · score · Claude Sonnet 4.6; 95% CI [-2.63863180, -0.39612153]; sessions 39452; observations 1444102; rank 31 | -6.0895% 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 | 1,482.24100% of row best · rating · claude-sonnet-4-6; 95% CI [1476.36427265, 1488.10617859]; votes 57813; rank 11 | 1,444.1497% 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 | 1,458.26100% of row best · rating · claude-sonnet-4-6; 95% CI [1454.67519650, 1461.85096774]; votes 66208; rank 35 | 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 | 1,282.72100% of row best · rating · claude-sonnet-4-6; 95% CI [1276.36460283, 1289.07266013]; votes 25552; rank 27 | 1,277.81100% 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 Sonnet 4.6 | Qwen3.7-Plus |
|---|---|---|
| Developer | Anthropic | Qwen |
| Family | Claude 4 | Qwen3 7 Plus |
| Model | Claude Sonnet 4.6 | Qwen3.7-Plus |
| Version | Claude Sonnet 4.6 | Qwen3.7-Plus |
| Lifecycle | active | active |
| Released | 2026-02-17 | Unknown |
| Knowledge cutoff | 2025-08-01 | 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, structured_outputs, tools | agents, chat, computer-use, reasoning, structured_outputs, tools, vision |
Claude Sonnet 4.6 Capabilities
Qwen3.7 Plus Capabilities
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Primary Evidence
Sources and Freshness
Questions
Claude Sonnet 4.6 vs Qwen3.7 Plus FAQs
Is Claude Sonnet 4.6 or Qwen3.7 Plus better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Claude Sonnet 4.6 and Qwen3.7 Plus, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Claude Sonnet 4.6 or Qwen3.7 Plus?+
Claude Sonnet 4.6 is $3.00 and Qwen3.7 Plus is $0.32 per million tokens, so Qwen3.7 Plus is cheaper on this metric. Claude Sonnet 4.6 is $15.00 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 Sonnet 4.6 or Qwen3.7 Plus?+
Neither model has a larger sourced context window in this comparison. Claude Sonnet 4.6 is 1,000K and Qwen3.7 Plus is 1,000K.
Which performs better in benchmarks, Claude Sonnet 4.6 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 Sonnet 4.6 or Qwen3.7 Plus be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Claude Sonnet 4.6 is not marked open weight; Qwen3.7 Plus is not marked open weight.
Can Claude Sonnet 4.6 and Qwen3.7 Plus understand images?+
Claude Sonnet 4.6 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 Sonnet 4.6 or Qwen3.7 Plus?+
Qwen3.7 Plus has the larger sourced maximum output: Claude Sonnet 4.6 supports 128K and Qwen3.7 Plus supports 131K output tokens.
Do Claude Sonnet 4.6 and Qwen3.7 Plus support reasoning and tool use?+
Claude Sonnet 4.6: 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 Sonnet 4.6 or Qwen3.7 Plus?+
Claude Sonnet 4.6 has 2 sourced provider routes; Qwen3.7 Plus has 4, so Qwen3.7 Plus has broader tracked availability.
Which offers better value, Claude Sonnet 4.6 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.