Claude Mythos 5.1 vs Qwen3.7 Max

At a Glance

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Pricing and Limits
Input priceFrom · USD / 1M tokens$10.00Anthropic ↗ · Sep 2, 2026$1.475Openrouter ↗ · Oct 19, 2026
Output priceFrom · USD / 1M tokens$50.00Anthropic ↗ · Sep 2, 2026$4.425Openrouter ↗ · Oct 19, 2026
Context windowMaximum documented tokens1,000K1,000K
Model facts checkedSep 2, 2026View model evidence →Sep 3, 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

All benchmark results →
No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.

Side-by-Side Facts

FieldClaude Mythos 5.1Qwen3.7 Max
DeveloperAnthropicQwen
FamilyClaude 5 1Qwen3 7
ModelClaude Mythos 5.1Qwen3.7 Max
VersionClaude Mythos 5.1Qwen3.7 Max
Lifecycleactiveactive
Released2026-09-012026-05-20
Knowledge cutoff2026-06-01Unknown
Input modalitiesText, ImageText, Image, Video
Output modalitiesTextText
Context window1,000K1,000K
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesYes
Self-hostableNoNo
Provider accessAnthropic (Project Glasswing)Alibaba Cloud Model Studio (Standard), Deepinfra (Standard), Openrouter (Standard), Together Ai (Standard)
Capabilitieschat, generation, reasoning, toolsagents, chat, generation, reasoning, structured_outputs, tools, vision

Claude Mythos 5.1 Capabilities

chatgenerationreasoningtools
Serving providers1
Canonical IDanthropic/claude-mythos-5-1

Qwen3.7 Max Capabilities

agentschatgenerationreasoningstructured outputstoolsvision
Serving providers4
Canonical IDqwen/qwen3.7-max

Primary Evidence

Sources and Freshness

Questions

Claude Mythos 5.1 vs Qwen3.7 Max FAQs

Is Claude Mythos 5.1 or Qwen3.7 Max better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Claude Mythos 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 Mythos 5.1 or Qwen3.7 Max?+

Claude Mythos 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 Mythos 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 Mythos 5.1 or Qwen3.7 Max?+

Both models have the same sourced context window: 1,000,000 tokens each.

Which performs better in benchmarks, Claude Mythos 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 Mythos 5.1 or Qwen3.7 Max be self-hosted?+

Both models have the same sourced self-hosting status: unsupported. Claude Mythos 5.1 is not marked open weight; Qwen3.7 Max is not marked open weight.

Can Claude Mythos 5.1 and Qwen3.7 Max understand images?+

Claude Mythos 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 Mythos 5.1 or Qwen3.7 Max?+

Claude Mythos 5.1 has the larger sourced maximum output. Claude Mythos 5.1 supports 128,000 tokens and Qwen3.7 Max supports 65,536 tokens.

Do Claude Mythos 5.1 and Qwen3.7 Max support reasoning and tool use?+

Claude Mythos 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 Mythos 5.1 or Qwen3.7 Max?+

Claude Mythos 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 Mythos 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.

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