Olmo 3.1 32B Instruct vs Grok 4.5

Benchmark Performance

Available Benchmarks

BenchmarkOlmo-3.1-32B-InstructGrok 4.5
LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader1,311.9090% of row best · rating · olmo-3.1-32b-instruct; 95% CI [1305.73447366, 1318.07100374]; votes 11463; rank 2231,451.82100% of row best · rating · grok-4.5; 95% CI [1446.90989155, 1456.73122428]; votes 25873; rank 39
Overall ResultCounted from the protocol-matched rows above0 benchmark wins1 benchmark winOverall lead

Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.

FieldAt a Glance
Ai2 · activeOlmo 3.1 32B InstructVerified Aug 28, 2026
xAI · activeGrok 4.5Verified Sep 3, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldOlmo-3.1-32B-InstructGrok 4.5
DeveloperAi2xAI
FamilyOlmo 3 1 32b InstructGrok 4
ModelOlmo-3.1-32B-InstructGrok 4.5
VersionOlmo-3.1-32B-InstructGrok 4.5
Lifecycleactiveactive
ReleasedUnknown2026-07-16
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image
Output modalitiesTextText
Context window66K500K
Total parameters32.2BUnknown
Active parametersUnknownUnknown
Licenseapache-2.0Unknown
Open weightsYesNo
API availableUnknownYes
Self-hostableYesNo
Provider accessUnknownXai (Standard)
Capabilitieschat, generation, toolschat, generation, reasoning, structured_outputs, tools

11 comparable fields · 9 material differences · Pair passes the primary-source comparison gate

Olmo 3.1 32B Instruct Capabilities

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

Grok 4.5 Capabilities

chatgenerationreasoningstructured outputstools
Input price$2.00
Output price$6.00
Serving providers1
Canonical IDxai/grok-4.5

Internal Comparison Graph

Related Comparisons

All text comparisons →
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Primary Evidence

Sources and Freshness

Questions

Olmo 3.1 32B Instruct vs Grok 4.5 FAQs

Is Olmo 3.1 32B Instruct or Grok 4.5 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Olmo 3.1 32B Instruct and Grok 4.5, 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 Grok 4.5?+

Only Grok 4.5 has a directly sourced input price: $2.00 per million tokens. Only Grok 4.5 has a directly sourced output price: $6.00 per million tokens.

Which has a larger context window, Olmo 3.1 32B Instruct or Grok 4.5?+

Grok 4.5 has the larger sourced context window. Olmo 3.1 32B Instruct supports 66K and Grok 4.5 supports 500K.

Which performs better in benchmarks, Olmo 3.1 32B Instruct or Grok 4.5?+

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 Grok 4.5 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; Grok 4.5 is not marked open weight.

Can Olmo 3.1 32B Instruct and Grok 4.5 understand images?+

Olmo 3.1 32B Instruct is not documented with image input; Grok 4.5 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Olmo 3.1 32B Instruct or Grok 4.5?+

Neither has a larger sourced maximum output. Olmo 3.1 32B Instruct is 33K and Grok 4.5 is —.

Do Olmo 3.1 32B Instruct and Grok 4.5 support reasoning and tool use?+

Olmo 3.1 32B Instruct: tool calling. Grok 4.5: 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 Grok 4.5?+

Olmo 3.1 32B Instruct has 0 sourced provider routes; Grok 4.5 has 1, so Grok 4.5 has broader tracked availability.

Which offers better value, Olmo 3.1 32B Instruct or Grok 4.5?+

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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