Claude Mythos 5.1 vs Gemma 4 31B

At a Glance

Compare
Gemma 4 31BGoogle DeepMind
Pricing and Limits
Input priceFrom · USD / 1M tokens$10.00Anthropic · Sep 2, 2026$0.090Openrouter · Sep 22, 2026
Output priceFrom · USD / 1M tokens$50.00Anthropic · Sep 2, 2026$0.34Openrouter · Sep 22, 2026
Context windowMaximum documented tokens1,000K262K
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 5.1Gemma 4 31B
DeveloperAnthropicGoogle DeepMind
FamilyClaude 5 1Gemma 4
ModelClaude Mythos 5.1Gemma 4 31B
VersionClaude Mythos 5.1Gemma 4 31B
Lifecycleactiveactive
Released2026-09-012026-03-11
Knowledge cutoff2026-06-01Unknown
Input modalitiesText, ImageText, Image
Output modalitiesTextText
Context window1,000K262K
Total parametersUnknown31B
Active parametersUnknownUnknown
LicenseUnknownapache-2.0
Open weightsNoYes
API availableYesYes
Self-hostableNoYes
Provider accessAnthropic (Project Glasswing)Cerebras (Standard), Deepinfra (Standard), Google Gemini (Standard), Openrouter (Standard), Together Ai (Standard)
Capabilitieschat, generation, reasoning, toolschat, generation, reasoning, structured_outputs, tools

Claude Mythos 5.1 Capabilities

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

Gemma 4 31B Capabilities

chatgenerationreasoningstructured outputstools
Serving providers5
Canonical IDgoogle/gemma-4-31B-it

Primary Evidence

Sources and Freshness

Questions

Claude Mythos 5.1 vs Gemma 4 31B FAQs

Is Claude Mythos 5.1 or Gemma 4 31B better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Claude Mythos 5.1 and Gemma 4 31B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Claude Mythos 5.1 or Gemma 4 31B?+

Claude Mythos 5.1 is $10.00 and Gemma 4 31B is $0.090 per million tokens, so Gemma 4 31B is cheaper on this metric. Claude Mythos 5.1 is $50.00 and Gemma 4 31B is $0.34 per million tokens, so Gemma 4 31B is cheaper on this metric.

Which has a larger context window, Claude Mythos 5.1 or Gemma 4 31B?+

Claude Mythos 5.1 has the larger sourced context window. Claude Mythos 5.1 supports 1,000K and Gemma 4 31B supports 262K.

Which performs better in benchmarks, Claude Mythos 5.1 or Gemma 4 31B?+

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 Gemma 4 31B be self-hosted?+

Gemma 4 31B is the only model in this pair currently marked as self-hostable. Claude Mythos 5.1 is not marked open weight; Gemma 4 31B is open weight.

Can Claude Mythos 5.1 and Gemma 4 31B understand images?+

Claude Mythos 5.1 is documented with image input; Gemma 4 31B is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Claude Mythos 5.1 or Gemma 4 31B?+

Neither has a larger sourced maximum output. Claude Mythos 5.1 is 128K and Gemma 4 31B is —.

Do Claude Mythos 5.1 and Gemma 4 31B support reasoning and tool use?+

Claude Mythos 5.1: reasoning, tool calling, and image input. Gemma 4 31B: 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 Gemma 4 31B?+

Claude Mythos 5.1 has 1 sourced provider route; Gemma 4 31B has 5, so Gemma 4 31B has broader tracked availability.

Which offers better value, Claude Mythos 5.1 or Gemma 4 31B?+

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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