Olmo 3.1 32B Instruct vs GPT-5 Nano
Benchmark Performance
Available Benchmarks
| Benchmark | Olmo-3.1-32B-Instruct | GPT-5 Nano |
|---|---|---|
| LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · statistical tie | 1,311.9099% of row best · rating · olmo-3.1-32b-instruct; 95% CI [1305.73447366, 1318.07100374]; votes 11463; rank 223 | 1,319.84100% of row best · rating · gpt-5-nano-high; 95% CI [1312.99438214, 1326.68844296]; votes 8128; rank 214 |
| Overall ResultCounted from the protocol-matched rows above · 1 tie | 0 benchmark winsTied overall | 0 benchmark winsTied overall |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Technical Differences
Side-by-Side Facts
| Field | Olmo-3.1-32B-Instruct | GPT-5 Nano |
|---|---|---|
| Developer | Ai2 | OpenAI |
| Family | Olmo 3 1 32b Instruct | Gpt 5 |
| Model | Olmo-3.1-32B-Instruct | GPT-5 Nano |
| Version | Olmo-3.1-32B-Instruct | GPT-5 Nano |
| Lifecycle | active | active |
| Released | Unknown | 2025-08-07 |
| Knowledge cutoff | Unknown | 2024-05-31 |
| Input modalities | Text | Text, Image |
| Output modalities | Text | Text |
| Context window | 66K | 400K |
| Total parameters | 32.2B | Unknown |
| Active parameters | Unknown | Unknown |
| License | apache-2.0 | Unknown |
| Open weights | Yes | No |
| API available | Unknown | Yes |
| Self-hostable | Yes | No |
| Provider access | Unknown | Openai (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, tools | chat, generation, reasoning, structured_outputs, tools |
11 comparable fields · 9 material differences · Pair passes the primary-source comparison gate
Olmo 3.1 32B Instruct Capabilities
GPT-5 Nano Capabilities
Internal Comparison Graph
Related Comparisons
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|---|---|---|---|
| vs | GPT-6 AstraOpenAI | cross-developer peerstext | |
| vs | Claude Fable 5.1Anthropic | cross-developer peerstext | |
| vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext | |
| vs |  DeepSeek-V4-ProDeepSeek | cross-developer peerstext | |
| vs | Grok 4.6xAI | cross-developer peerstext | |
| vs |  Qwen3.8-MaxQwen | cross-developer peerstext | |
| vs |  Kimi-K3Moonshot AI | cross-developer peerstext | |
 MiniMax-M3MiniMax | vs | cross-developer peerstext | |
| vs |  GLM-5.3Z.ai | cross-developer peerstext | |
| vs |  Hy4 previewTencent | cross-developer peerstext | |
| vs | Seed 2.1 ProByteDance Seed | cross-developer peerstext | |
| vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Olmo 3.1 32B Instruct vs GPT-5 Nano FAQs
Is Olmo 3.1 32B Instruct or GPT-5 Nano better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Olmo 3.1 32B Instruct and GPT-5 Nano, 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-5 Nano?+
Only GPT-5 Nano has a directly sourced input price: $0.025 per million tokens. Only GPT-5 Nano has a directly sourced output price: $0.20 per million tokens.
Which has a larger context window, Olmo 3.1 32B Instruct or GPT-5 Nano?+
GPT-5 Nano has the larger sourced context window. Olmo 3.1 32B Instruct supports 66K and GPT-5 Nano supports 400K.
Which performs better in benchmarks, Olmo 3.1 32B Instruct or GPT-5 Nano?+
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-5 Nano 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-5 Nano is not marked open weight.
Can Olmo 3.1 32B Instruct and GPT-5 Nano understand images?+
Olmo 3.1 32B Instruct is not documented with image input; GPT-5 Nano 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-5 Nano?+
GPT-5 Nano has the larger sourced maximum output: Olmo 3.1 32B Instruct supports 33K and GPT-5 Nano supports 128K output tokens.
Do Olmo 3.1 32B Instruct and GPT-5 Nano support reasoning and tool use?+
Olmo 3.1 32B Instruct: tool calling. GPT-5 Nano: 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 GPT-5 Nano?+
Olmo 3.1 32B Instruct has 0 sourced provider routes; GPT-5 Nano has 2, so GPT-5 Nano has broader tracked availability.
Which offers better value, Olmo 3.1 32B Instruct or GPT-5 Nano?+
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.