Olmo 3.1 32B Instruct vs Claude Opus 5.5

At a Glance

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Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$4.00Anthropic · Sep 22, 2026
Output priceFrom · USD / 1M tokensNot reported$20.00Anthropic · Sep 22, 2026
Context windowMaximum documented tokens66K1,000K
Model facts checkedAug 28, 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

FieldOlmo-3.1-32B-InstructClaude Opus 5.5
DeveloperAi2Anthropic
FamilyOlmo 3 1 32b InstructClaude 5 5
ModelOlmo-3.1-32B-InstructClaude Opus 5.5
VersionOlmo-3.1-32B-InstructClaude Opus 5.5
Lifecycleactiveactive
ReleasedUnknown2026-09-22
Knowledge cutoffUnknown2026-06-01
Input modalitiesTextText, Image
Output modalitiesTextText
Context window66K1,000K
Total parameters32.2BUnknown
Active parametersUnknownUnknown
Licenseapache-2.0Unknown
Open weightsYesNo
API availableUnknownYes
Self-hostableYesNo
Provider accessUnknownAnthropic (Standard)
Capabilitieschat, generation, toolschat, generation, reasoning, tools
Message Batches max output (beta)Unknown300000 tokens
Default effortUnknownmedium
Retirement commitmentUnknownNot sooner than September 22, 2027
ThinkingUnknownAdaptive (always on)

Olmo 3.1 32B Instruct Capabilities

chatgenerationtools
Serving providers0
Canonical IDallenai/Olmo-3.1-32B-Instruct

Claude Opus 5.5 Capabilities

chatgenerationreasoningtools
Serving providers1
Canonical IDanthropic/claude-opus-5-5

Primary Evidence

Sources and Freshness

Questions

Olmo 3.1 32B Instruct vs Claude Opus 5.5 FAQs

Is Olmo 3.1 32B Instruct or Claude Opus 5.5 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Olmo 3.1 32B Instruct and Claude Opus 5.5, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Olmo 3.1 32B Instruct or Claude Opus 5.5?+

Only Claude Opus 5.5 has a directly sourced input price: $4.00 per million tokens. Only Claude Opus 5.5 has a directly sourced output price: $20.00 per million tokens.

Which has a larger context window, Olmo 3.1 32B Instruct or Claude Opus 5.5?+

Claude Opus 5.5 has the larger sourced context window. Olmo 3.1 32B Instruct supports 66K and Claude Opus 5.5 supports 1,000K.

Which performs better in benchmarks, Olmo 3.1 32B Instruct or Claude Opus 5.5?+

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

Can Olmo 3.1 32B Instruct or Claude Opus 5.5 be self-hosted?+

Olmo 3.1 32B Instruct is the only model in this pair currently marked as self-hostable. Olmo 3.1 32B Instruct is open weight; Claude Opus 5.5 is not marked open weight.

Can Olmo 3.1 32B Instruct and Claude Opus 5.5 understand images?+

Olmo 3.1 32B Instruct is not documented with image input; Claude Opus 5.5 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Olmo 3.1 32B Instruct or Claude Opus 5.5?+

Claude Opus 5.5 has the larger sourced maximum output: Olmo 3.1 32B Instruct supports 33K and Claude Opus 5.5 supports 128K output tokens.

Do Olmo 3.1 32B Instruct and Claude Opus 5.5 support reasoning and tool use?+

Olmo 3.1 32B Instruct: tool calling. Claude Opus 5.5: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Olmo 3.1 32B Instruct or Claude Opus 5.5?+

Olmo 3.1 32B Instruct has 0 sourced provider routes; Claude Opus 5.5 has 1, so Claude Opus 5.5 has broader tracked availability.

Which offers better value, Olmo 3.1 32B Instruct or Claude Opus 5.5?+

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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