Olmo 3.1 32B Instruct vs Sonar Reasoning Pro

At a Glance

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Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$2.00Openrouter · Sep 22, 2026
Output priceFrom · USD / 1M tokensNot reported$8.00Openrouter · Sep 22, 2026
Context windowMaximum documented tokens66K128K
Model facts checkedAug 28, 2026View model evidence →Aug 29, 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-InstructSonar Reasoning Pro
DeveloperAi2Perplexity
FamilyOlmo 3 1 32b InstructSonar
ModelOlmo-3.1-32B-InstructSonar Reasoning Pro
VersionOlmo-3.1-32B-InstructSonar Reasoning Pro
Lifecycleactiveactive
ReleasedUnknownUnknown
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesTextText
Context window66K128K
Total parameters32.2BUnknown
Active parametersUnknownUnknown
Licenseapache-2.0Unknown
Open weightsYesNo
API availableUnknownYes
Self-hostableYesNo
Provider accessUnknownOpenrouter (Standard), Perplexity (Standard)
Capabilitieschat, generation, toolschat, citations, reasoning, search

Olmo 3.1 32B Instruct Capabilities

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

Sonar Reasoning Pro Capabilities

chatcitationsreasoningsearch
Serving providers2
Canonical IDperplexity/sonar-reasoning-pro

Primary Evidence

Sources and Freshness

Questions

Olmo 3.1 32B Instruct vs Sonar Reasoning Pro FAQs

Is Olmo 3.1 32B Instruct or Sonar Reasoning Pro better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Olmo 3.1 32B Instruct and Sonar Reasoning Pro, 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 Sonar Reasoning Pro?+

Only Sonar Reasoning Pro has a directly sourced input price: $2.00 per million tokens. Only Sonar Reasoning Pro has a directly sourced output price: $8.00 per million tokens.

Which has a larger context window, Olmo 3.1 32B Instruct or Sonar Reasoning Pro?+

Sonar Reasoning Pro has the larger sourced context window. Olmo 3.1 32B Instruct supports 66K and Sonar Reasoning Pro supports 128K.

Which performs better in benchmarks, Olmo 3.1 32B Instruct or Sonar Reasoning Pro?+

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 Sonar Reasoning Pro 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; Sonar Reasoning Pro is not marked open weight.

Can Olmo 3.1 32B Instruct and Sonar Reasoning Pro understand images?+

Olmo 3.1 32B Instruct is not documented with image input; Sonar Reasoning Pro is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Olmo 3.1 32B Instruct or Sonar Reasoning Pro?+

Neither has a larger sourced maximum output. Olmo 3.1 32B Instruct is 33K and Sonar Reasoning Pro is —.

Do Olmo 3.1 32B Instruct and Sonar Reasoning Pro support reasoning and tool use?+

Olmo 3.1 32B Instruct: tool calling. Sonar Reasoning Pro: reasoning. Feature support does not establish relative quality.

Which is available from more inference providers, Olmo 3.1 32B Instruct or Sonar Reasoning Pro?+

Olmo 3.1 32B Instruct has 0 sourced provider routes; Sonar Reasoning Pro has 2, so Sonar Reasoning Pro has broader tracked availability.

Which offers better value, Olmo 3.1 32B Instruct or Sonar Reasoning 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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