Claude Mythos 5.1 vs Mistral Medium 3.5 128B

At a Glance

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Pricing and Limits
Input priceFrom · USD / 1M tokens$10.00Anthropic · Sep 2, 2026Not reported
Output priceFrom · USD / 1M tokens$50.00Anthropic · Sep 2, 2026Not reported
Context windowMaximum documented tokens1,000K262K
Model facts checkedSep 2, 2026View model evidence →Aug 28, 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 5.1Mistral-Medium-3.5-128B
DeveloperAnthropicMistral AI
FamilyClaude 5 1Mistral Medium 3 5 128b
ModelClaude Mythos 5.1Mistral-Medium-3.5-128B
VersionClaude Mythos 5.1Mistral-Medium-3.5-128B
Lifecycleactiveactive
Released2026-09-01Unknown
Knowledge cutoff2026-06-01Unknown
Input modalitiesText, ImageText, Image
Output modalitiesTextText
Context window1,000K262K
Total parametersUnknown127.7B
Active parametersUnknownUnknown
LicenseUnknownother
Open weightsNoYes
API availableYesUnknown
Self-hostableNoYes
Provider accessAnthropic (Project Glasswing)Unknown
Capabilitieschat, generation, reasoning, toolschat, generation, reasoning, tools

Claude Mythos 5.1 Capabilities

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

Mistral Medium 3.5 128B Capabilities

chatgenerationreasoningtools
Serving providers0
Canonical IDmistralai/Mistral-Medium-3.5-128B

Primary Evidence

Sources and Freshness

Questions

Claude Mythos 5.1 vs Mistral Medium 3.5 128B FAQs

Is Claude Mythos 5.1 or Mistral Medium 3.5 128B better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Claude Mythos 5.1 and Mistral Medium 3.5 128B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Claude Mythos 5.1 or Mistral Medium 3.5 128B?+

Only Claude Mythos 5.1 has a directly sourced input price: $10.00 per million tokens. Only Claude Mythos 5.1 has a directly sourced output price: $50.00 per million tokens.

Which has a larger context window, Claude Mythos 5.1 or Mistral Medium 3.5 128B?+

Claude Mythos 5.1 has the larger sourced context window. Claude Mythos 5.1 supports 1,000K and Mistral Medium 3.5 128B supports 262K.

Which performs better in benchmarks, Claude Mythos 5.1 or Mistral Medium 3.5 128B?+

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 Mistral Medium 3.5 128B be self-hosted?+

Mistral Medium 3.5 128B is the only model in this pair currently marked as self-hostable. Claude Mythos 5.1 is not marked open weight; Mistral Medium 3.5 128B is open weight.

Can Claude Mythos 5.1 and Mistral Medium 3.5 128B understand images?+

Claude Mythos 5.1 is documented with image input; Mistral Medium 3.5 128B is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Claude Mythos 5.1 or Mistral Medium 3.5 128B?+

Neither has a larger sourced maximum output. Claude Mythos 5.1 is 128K and Mistral Medium 3.5 128B is —.

Do Claude Mythos 5.1 and Mistral Medium 3.5 128B support reasoning and tool use?+

Claude Mythos 5.1: reasoning, tool calling, and image input. Mistral Medium 3.5 128B: 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 Mistral Medium 3.5 128B?+

Claude Mythos 5.1 has 1 sourced provider route; Mistral Medium 3.5 128B has 0, so Claude Mythos 5.1 has broader tracked availability.

Which offers better value, Claude Mythos 5.1 or Mistral Medium 3.5 128B?+

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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