Claude Mythos 5.1 vs Granite 4.2 8B

At a Glance

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Pricing and Limits
Input priceFrom · USD / 1M tokens$10.00Anthropic · Sep 2, 2026$0.060Deepinfra · Sep 23, 2026
Output priceFrom · USD / 1M tokens$50.00Anthropic · Sep 2, 2026$0.25Deepinfra · Sep 23, 2026
Context windowMaximum documented tokens1,000K131K
Model facts checkedSep 2, 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

FieldClaude Mythos 5.1Granite 4.2 8B
DeveloperAnthropicIBM
FamilyClaude 5 1Granite 4 2
ModelClaude Mythos 5.1Granite 4.2 8B
VersionClaude Mythos 5.1Granite 4.2 8B
Lifecycleactiveactive
Released2026-09-012026-08-25
Knowledge cutoff2026-06-01Unknown
Input modalitiesText, ImageText
Output modalitiesTextText
Context window1,000K131K
Total parametersUnknown8.8B
Active parametersUnknownUnknown
LicenseUnknownapache-2.0
Open weightsNoYes
API availableYesYes
Self-hostableNoYes
Provider accessAnthropic (Project Glasswing)Deepinfra (Standard), Openrouter (Standard)
Capabilitieschat, generation, reasoning, toolschat, generation, reasoning, structured_outputs, tools

Claude Mythos 5.1 Capabilities

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

Granite 4.2 8B Capabilities

chatgenerationreasoningstructured outputstools
Serving providers2
Canonical IDibm-granite/granite-4.2-8b

Primary Evidence

Sources and Freshness

Questions

Claude Mythos 5.1 vs Granite 4.2 8B FAQs

Is Claude Mythos 5.1 or Granite 4.2 8B better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Claude Mythos 5.1 and Granite 4.2 8B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Claude Mythos 5.1 or Granite 4.2 8B?+

Claude Mythos 5.1 is $10.00 and Granite 4.2 8B is $0.060 per million tokens, so Granite 4.2 8B is cheaper on this metric. Claude Mythos 5.1 is $50.00 and Granite 4.2 8B is $0.25 per million tokens, so Granite 4.2 8B is cheaper on this metric.

Which has a larger context window, Claude Mythos 5.1 or Granite 4.2 8B?+

Claude Mythos 5.1 has the larger sourced context window. Claude Mythos 5.1 supports 1,000K and Granite 4.2 8B supports 131K.

Which performs better in benchmarks, Claude Mythos 5.1 or Granite 4.2 8B?+

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 Granite 4.2 8B be self-hosted?+

Granite 4.2 8B is the only model in this pair currently marked as self-hostable. Claude Mythos 5.1 is not marked open weight; Granite 4.2 8B is open weight.

Can Claude Mythos 5.1 and Granite 4.2 8B understand images?+

Claude Mythos 5.1 is documented with image input; Granite 4.2 8B is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Claude Mythos 5.1 or Granite 4.2 8B?+

Neither has a larger sourced maximum output. Claude Mythos 5.1 is 128K and Granite 4.2 8B is —.

Do Claude Mythos 5.1 and Granite 4.2 8B support reasoning and tool use?+

Claude Mythos 5.1: reasoning, tool calling, and image input. Granite 4.2 8B: reasoning and tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, Claude Mythos 5.1 or Granite 4.2 8B?+

Claude Mythos 5.1 has 1 sourced provider route; Granite 4.2 8B has 2, so Granite 4.2 8B has broader tracked availability.

Which offers better value, Claude Mythos 5.1 or Granite 4.2 8B?+

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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