Claude Fable 5.1 vs Qwen3.7 Max
Model Markets Rankings
Intelligence, Cost, and Efficiency
| Ranking | Claude Fable 5.1 | Qwen3.7 Max |
|---|---|---|
| CostLower is better · Published-token output estimate | UnrankedNot in the 36-model eligible cohort | #12 of 36$0.057 per LiveBench case |
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
Technical Differences
Side-by-Side Facts
| Field | Claude Fable 5.1 | Qwen3.7 Max |
|---|---|---|
| Developer | Anthropic | Qwen |
| Family | Claude 5 1 | Qwen3 7 |
| Model | Claude Fable 5.1 | Qwen3.7 Max |
| Version | Claude Fable 5.1 | Qwen3.7 Max |
| Lifecycle | active | active |
| Released | 2026-09-01 | 2026-05-20 |
| Knowledge cutoff | 2026-06-01 | 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) | Alibaba Cloud Model Studio (Standard), Deepinfra (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, reasoning, tools | agents, chat, generation, reasoning, structured_outputs, tools, vision |
14 comparable fields · 8 material differences · Pair passes the primary-source comparison gate
Claude Fable 5.1 Capabilities
Qwen3.7 Max Capabilities
Internal Comparison Graph
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|---|---|---|---|
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Claude Fable 5.1Anthropic | vs | GLM-5.3Z.ai | cross-developer peerstext |
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Primary Evidence
Sources and Freshness
Questions
Claude Fable 5.1 vs Qwen3.7 Max FAQs
Is Claude Fable 5.1 or Qwen3.7 Max better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Claude Fable 5.1 and Qwen3.7 Max, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Claude Fable 5.1 or Qwen3.7 Max?+
Claude Fable 5.1 is $10.00 and Qwen3.7 Max is $1.475 per million tokens, so Qwen3.7 Max is cheaper on this metric. Claude Fable 5.1 is $50.00 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 Fable 5.1 or Qwen3.7 Max?+
Neither model has a larger sourced context window in this comparison. Claude Fable 5.1 is 1,000K and Qwen3.7 Max is 1,000K.
Which performs better in benchmarks, Claude Fable 5.1 or Qwen3.7 Max?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Claude Fable 5.1 or Qwen3.7 Max be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Claude Fable 5.1 is not marked open weight; Qwen3.7 Max is not marked open weight.
Can Claude Fable 5.1 and Qwen3.7 Max understand images?+
Claude Fable 5.1 is 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 Fable 5.1 or Qwen3.7 Max?+
Claude Fable 5.1 has the larger sourced maximum output: Claude Fable 5.1 supports 128K and Qwen3.7 Max supports 66K output tokens.
Do Claude Fable 5.1 and Qwen3.7 Max support reasoning and tool use?+
Claude Fable 5.1: reasoning, tool calling, and image input. Qwen3.7 Max: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Claude Fable 5.1 or Qwen3.7 Max?+
Claude Fable 5.1 has 1 sourced provider route; Qwen3.7 Max has 4, so Qwen3.7 Max has broader tracked availability.
Which offers better value, Claude Fable 5.1 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.