Olmo 3.1 32B Instruct vs GPT-4.1

Benchmark Performance

Available Benchmarks

BenchmarkOlmo-3.1-32B-InstructGPT-4.1
LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader1,311.9095% of row best · rating · olmo-3.1-32b-instruct; 95% CI [1305.73447366, 1318.07100374]; votes 11463; rank 2231,382.71100% of row best · rating · gpt-4.1-2025-04-14; 95% CI [1379.00467679, 1386.41941365]; votes 49913; rank 153
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
OpenAI · activeGPT-4.1Verified Aug 29, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldOlmo-3.1-32B-InstructGPT-4.1
DeveloperAi2OpenAI
FamilyOlmo 3 1 32b InstructGpt 4 1
ModelOlmo-3.1-32B-InstructGPT-4.1
VersionOlmo-3.1-32B-InstructGPT-4.1
Lifecycleactiveactive
ReleasedUnknownUnknown
Knowledge cutoffUnknown2024-06-01
Input modalitiesTextText, Image
Output modalitiesTextText
Context window66K1,048K
Total parameters32.2BUnknown
Active parametersUnknownUnknown
Licenseapache-2.0Unknown
Open weightsYesNo
API availableUnknownYes
Self-hostableYesNo
Provider accessUnknownOpenai (Standard), Openrouter (Standard)
Capabilitieschat, generation, toolschat, generation, tools

11 comparable fields · 8 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

GPT-4.1 Capabilities

chatgenerationtools
Input price$1.00
Output price$4.00
Serving providers2
Canonical IDopenai/gpt-4.1

Internal Comparison Graph

Related Comparisons

All text comparisons →
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Primary Evidence

Sources and Freshness

Questions

Olmo 3.1 32B Instruct vs GPT-4.1 FAQs

Is Olmo 3.1 32B Instruct or GPT-4.1 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Olmo 3.1 32B Instruct and GPT-4.1, 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 GPT-4.1?+

Only GPT-4.1 has a directly sourced input price: $1.00 per million tokens. Only GPT-4.1 has a directly sourced output price: $4.00 per million tokens.

Which has a larger context window, Olmo 3.1 32B Instruct or GPT-4.1?+

GPT-4.1 has the larger sourced context window. Olmo 3.1 32B Instruct supports 66K and GPT-4.1 supports 1,048K.

Which performs better in benchmarks, Olmo 3.1 32B Instruct or GPT-4.1?+

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 GPT-4.1 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; GPT-4.1 is not marked open weight.

Can Olmo 3.1 32B Instruct and GPT-4.1 understand images?+

Olmo 3.1 32B Instruct is not documented with image input; GPT-4.1 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Olmo 3.1 32B Instruct or GPT-4.1?+

Neither has a larger sourced maximum output. Olmo 3.1 32B Instruct is 33K and GPT-4.1 is 33K.

Do Olmo 3.1 32B Instruct and GPT-4.1 support reasoning and tool use?+

Olmo 3.1 32B Instruct: tool calling. GPT-4.1: 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 GPT-4.1?+

Olmo 3.1 32B Instruct has 0 sourced provider routes; GPT-4.1 has 2, so GPT-4.1 has broader tracked availability.

Which offers better value, Olmo 3.1 32B Instruct or GPT-4.1?+

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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