Olmo-3-32B-Think vs Devstral-2-123B-Instruct-2512

Benchmark Performance

Available Benchmarks

No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.
FieldAt a Glance
Ai2 · activeOlmo-3-32B-ThinkVerified Aug 28, 2026
Mistral AI · activeDevstral-2-123B-Instruct-2512Verified Aug 28, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldOlmo-3-32B-ThinkDevstral-2-123B-Instruct-2512
DeveloperAi2Mistral AI
FamilyOlmo 3 32b ThinkDevstral 2 123b Instruct 2512
ModelOlmo-3-32B-ThinkDevstral-2-123B-Instruct-2512
VersionOlmo-3-32B-ThinkDevstral-2-123B-Instruct-2512
Lifecycleactiveactive
ReleasedUnknownUnknown
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesTextText
Context window65,536262,144
Total parameters32,233,522,176125,025,989,840
Active parametersUnknownUnknown
Licenseapache-2.0other
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessOpenrouter (Standard)Openrouter (Standard)
Capabilitieschat, generation, reasoningchat, generation, tools

15 comparable fields · 8 material differences · Pair passes the primary-source comparison gate

Olmo-3-32B-Think Capabilities

chatgenerationreasoning
Input price$0.15
Output price$0.50
Serving providers1
Canonical IDallenai/Olmo-3-32B-Think

Devstral-2-123B-Instruct-2512 Capabilities

chatgenerationtools
Input price$0.44
Output price$2.20
Serving providers1
Canonical IDmistralai/Devstral-2-123B-Instruct-2512

Internal Comparison Graph

Related Comparisons

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Primary Evidence

Sources and Freshness

Questions

Olmo-3-32B-Think vs Devstral-2-123B-Instruct-2512 FAQs

Is Olmo-3-32B-Think or Devstral-2-123B-Instruct-2512 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Olmo-3-32B-Think and Devstral-2-123B-Instruct-2512, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Olmo-3-32B-Think or Devstral-2-123B-Instruct-2512?+

Olmo-3-32B-Think is $0.15 and Devstral-2-123B-Instruct-2512 is $0.44 per million tokens, so Olmo-3-32B-Think is cheaper on this metric. Olmo-3-32B-Think is $0.50 and Devstral-2-123B-Instruct-2512 is $2.20 per million tokens, so Olmo-3-32B-Think is cheaper on this metric.

Which has a larger context window, Olmo-3-32B-Think or Devstral-2-123B-Instruct-2512?+

Devstral-2-123B-Instruct-2512 has the larger sourced context window. Olmo-3-32B-Think supports 65,536 and Devstral-2-123B-Instruct-2512 supports 262,144.

Which performs better in benchmarks, Olmo-3-32B-Think or Devstral-2-123B-Instruct-2512?+

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

Can Olmo-3-32B-Think or Devstral-2-123B-Instruct-2512 be self-hosted?+

Both models have the same recorded self-hosting status: supported. Olmo-3-32B-Think is open weight; Devstral-2-123B-Instruct-2512 is open weight.

Can Olmo-3-32B-Think and Devstral-2-123B-Instruct-2512 understand images?+

Olmo-3-32B-Think is not documented with image input; Devstral-2-123B-Instruct-2512 is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Olmo-3-32B-Think or Devstral-2-123B-Instruct-2512?+

Neither has a larger sourced maximum output. Olmo-3-32B-Think is 32,768 and Devstral-2-123B-Instruct-2512 is —.

Do Olmo-3-32B-Think and Devstral-2-123B-Instruct-2512 support reasoning and tool use?+

Olmo-3-32B-Think: reasoning. Devstral-2-123B-Instruct-2512: tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, Olmo-3-32B-Think or Devstral-2-123B-Instruct-2512?+

Olmo-3-32B-Think has 1 sourced provider route; Devstral-2-123B-Instruct-2512 has 1, a tie.

Which offers better value, Olmo-3-32B-Think or Devstral-2-123B-Instruct-2512?+

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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