Qwen3.5 397B A17B vs Claude Mythos 5.1

At a Glance

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Pricing and Limits
Input priceFrom · USD / 1M tokens$0.45Deepinfra · Sep 22, 2026$10.00Anthropic · Sep 2, 2026
Output priceFrom · USD / 1M tokens$3.00Deepinfra · Sep 22, 2026$50.00Anthropic · Sep 2, 2026
Context windowMaximum documented tokens262K1,000K
Model facts checkedAug 28, 2026View model evidence →Sep 2, 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

FieldQwen3.5-397B-A17BClaude Mythos 5.1
DeveloperQwenAnthropic
FamilyQwen3 5 397b A17bClaude 5 1
ModelQwen3.5-397B-A17BClaude Mythos 5.1
VersionQwen3.5-397B-A17BClaude Mythos 5.1
Lifecycleactiveactive
Released2026-02-152026-09-01
Knowledge cutoffUnknown2026-06-01
Input modalitiesText, ImageText, Image
Output modalitiesTextText
Context window262K1,000K
Total parameters403.4BUnknown
Active parameters17BUnknown
Licenseapache-2.0Unknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessDeepinfra (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)Anthropic (Project Glasswing)
Capabilitieschat, generation, reasoning, toolschat, generation, reasoning, tools

Qwen3.5 397B A17B Capabilities

chatgenerationreasoningtools
Serving providers4
Canonical IDQwen/Qwen3.5-397B-A17B

Claude Mythos 5.1 Capabilities

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

Primary Evidence

Sources and Freshness

Questions

Qwen3.5 397B A17B vs Claude Mythos 5.1 FAQs

Is Qwen3.5 397B A17B or Claude Mythos 5.1 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.5 397B A17B and Claude Mythos 5.1, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Qwen3.5 397B A17B or Claude Mythos 5.1?+

Qwen3.5 397B A17B is $0.45 and Claude Mythos 5.1 is $10.00 per million tokens, so Qwen3.5 397B A17B is cheaper on this metric. Qwen3.5 397B A17B is $3.00 and Claude Mythos 5.1 is $50.00 per million tokens, so Qwen3.5 397B A17B is cheaper on this metric.

Which has a larger context window, Qwen3.5 397B A17B or Claude Mythos 5.1?+

Claude Mythos 5.1 has the larger sourced context window. Qwen3.5 397B A17B supports 262K and Claude Mythos 5.1 supports 1,000K.

Which performs better in benchmarks, Qwen3.5 397B A17B or Claude Mythos 5.1?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can Qwen3.5 397B A17B or Claude Mythos 5.1 be self-hosted?+

Qwen3.5 397B A17B is the only model in this pair currently marked as self-hostable. Qwen3.5 397B A17B is open weight; Claude Mythos 5.1 is not marked open weight.

Can Qwen3.5 397B A17B and Claude Mythos 5.1 understand images?+

Qwen3.5 397B A17B is documented with image input; Claude Mythos 5.1 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Qwen3.5 397B A17B or Claude Mythos 5.1?+

Neither has a larger sourced maximum output. Qwen3.5 397B A17B is — and Claude Mythos 5.1 is 128K.

Do Qwen3.5 397B A17B and Claude Mythos 5.1 support reasoning and tool use?+

Qwen3.5 397B A17B: reasoning, tool calling, and image input. Claude Mythos 5.1: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Qwen3.5 397B A17B or Claude Mythos 5.1?+

Qwen3.5 397B A17B has 4 sourced provider routes; Claude Mythos 5.1 has 1, so Qwen3.5 397B A17B has broader tracked availability.

Which offers better value, Qwen3.5 397B A17B or Claude Mythos 5.1?+

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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