Claude Mythos 5.1 vs MiMo V2.6 Pro

At a Glance

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Pricing and Limits
Input priceFrom · USD / 1M tokens$10.00Anthropic · Sep 2, 2026$0.435Openrouter · Sep 23, 2026
Output priceFrom · USD / 1M tokens$50.00Anthropic · Sep 2, 2026$0.87Openrouter · Sep 23, 2026
Context windowMaximum documented tokens1,000K1,049K
Model facts checkedSep 2, 2026View model evidence →Sep 22, 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 5.1MiMo-V2.6-Pro
DeveloperAnthropicXiaomi
FamilyClaude 5 1Mimo V2 6
ModelClaude Mythos 5.1MiMo-V2.6-Pro
VersionClaude Mythos 5.1MiMo-V2.6-Pro
Lifecycleactiveactive
Released2026-09-012026-09-21
Knowledge cutoff2026-06-01Unknown
Input modalitiesText, ImageText, Image, Video, Audio
Output modalitiesTextText
Context window1,000K1,049K
Total parametersUnknown1T
Active parametersUnknown42B
LicenseUnknownMIT
Open weightsNoYes
API availableYesYes
Self-hostableNoYes
Provider accessAnthropic (Project Glasswing)Openrouter (Standard), Xiaomi MiMo (Standard)
Capabilitieschat, generation, reasoning, toolschat, generation, reasoning, tools

Claude Mythos 5.1 Capabilities

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

MiMo V2.6 Pro Capabilities

chatgenerationreasoningtools
Serving providers2
Canonical IDxiaomi/mimo-v2.6-pro

Primary Evidence

Sources and Freshness

Questions

Claude Mythos 5.1 vs MiMo V2.6 Pro FAQs

Is Claude Mythos 5.1 or MiMo V2.6 Pro better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Claude Mythos 5.1 and MiMo V2.6 Pro, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Claude Mythos 5.1 or MiMo V2.6 Pro?+

Claude Mythos 5.1 is $10.00 and MiMo V2.6 Pro is $0.435 per million tokens, so MiMo V2.6 Pro is cheaper on this metric. Claude Mythos 5.1 is $50.00 and MiMo V2.6 Pro is $0.87 per million tokens, so MiMo V2.6 Pro is cheaper on this metric.

Which has a larger context window, Claude Mythos 5.1 or MiMo V2.6 Pro?+

MiMo V2.6 Pro has the larger sourced context window. Claude Mythos 5.1 supports 1,000K and MiMo V2.6 Pro supports 1,049K.

Which performs better in benchmarks, Claude Mythos 5.1 or MiMo V2.6 Pro?+

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 MiMo V2.6 Pro be self-hosted?+

MiMo V2.6 Pro is the only model in this pair currently marked as self-hostable. Claude Mythos 5.1 is not marked open weight; MiMo V2.6 Pro is open weight.

Can Claude Mythos 5.1 and MiMo V2.6 Pro understand images?+

Claude Mythos 5.1 is documented with image input; MiMo V2.6 Pro is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Claude Mythos 5.1 or MiMo V2.6 Pro?+

MiMo V2.6 Pro has the larger sourced maximum output: Claude Mythos 5.1 supports 128K and MiMo V2.6 Pro supports 131K output tokens.

Do Claude Mythos 5.1 and MiMo V2.6 Pro support reasoning and tool use?+

Claude Mythos 5.1: reasoning, tool calling, and image input. MiMo V2.6 Pro: 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 MiMo V2.6 Pro?+

Claude Mythos 5.1 has 1 sourced provider route; MiMo V2.6 Pro has 2, so MiMo V2.6 Pro has broader tracked availability.

Which offers better value, Claude Mythos 5.1 or MiMo V2.6 Pro?+

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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