MolmoAct2-Think vs GPT-5 Nano
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | MolmoAct2-Think | GPT-5 Nano |
|---|---|---|
| Developer | Ai2 | OpenAI |
| Family | Molmoact2 Think | Gpt 5 |
| Model | MolmoAct2-Think | GPT-5 Nano |
| Version | MolmoAct2-Think | GPT-5 Nano |
| Lifecycle | active | active |
| Released | Unknown | 2025-08-07 |
| Knowledge cutoff | Unknown | 2024-05-31 |
| Input modalities | Model-specific input | Text, Image |
| Output modalities | Model-specific input | Text |
| Context window | 16,384 | 400,000 |
| Total parameters | 5,447,439,152 | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | Yes | No |
| API available | Unknown | Yes |
| Self-hostable | Yes | No |
| Provider access | Unknown | Openai (Standard), Openrouter (Standard) |
| Capabilities | reasoning, robot_action_generation | chat, generation, reasoning, structured_outputs, tools |
11 comparable fields · 10 material differences · Pair passes the primary-source comparison gate
MolmoAct2-Think Capabilities
GPT-5 Nano Capabilities
Internal Comparison Graph
Related Comparisons
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|---|---|---|---|
| vs | family variantsimage, robotics, text | ||
GPT-5 NanoOpenAI | vs | GPT-5.4 NanoOpenAI | family variantsimage, text |
GPT-5 NanoOpenAI | vs | GPT-5.3-CodexOpenAI | family variantsimage, text |
GPT-5 NanoOpenAI | vs | Grok 4.5xAI | cross-developer peersimage, text |
GPT-5 NanoOpenAI | vs |  Qwen3 VL PlusQwen | cross-developer peersimage, text |
Claude Sonnet 4.5Anthropic | vs | GPT-5 NanoOpenAI | cross-developer peersimage, text |
GPT-4.1 NanoOpenAI | vs | GPT-5 NanoOpenAI | family variantsimage, text |
GPT-5 NanoOpenAI | vs | GPT-5.6 TerraOpenAI | family variantsimage, text |
GPT-5 NanoOpenAI | vs | Grok 4.6xAI | cross-developer peersimage, text |
| vs | GPT-5 NanoOpenAI | cross-developer peersimage, text | |
| vs |  Ministral-3-3B-Reasoning-2512Mistral AI | cross-developer peersimage, text | |
| vs | Ministral-3-8B-Reasoning-2512Mistral AI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
MolmoAct2-Think vs GPT-5 Nano FAQs
Is MolmoAct2-Think or GPT-5 Nano better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both MolmoAct2-Think and GPT-5 Nano, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, MolmoAct2-Think 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, MolmoAct2-Think or GPT-5 Nano?+
GPT-5 Nano has the larger sourced context window. MolmoAct2-Think supports 16,384 and GPT-5 Nano supports 400,000.
Which performs better in benchmarks, MolmoAct2-Think 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 MolmoAct2-Think or GPT-5 Nano be self-hosted?+
MolmoAct2-Think is the only model in this pair currently marked as self-hostable. MolmoAct2-Think is open weight; GPT-5 Nano is not marked open weight.
Can MolmoAct2-Think and GPT-5 Nano understand images?+
MolmoAct2-Think 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, MolmoAct2-Think or GPT-5 Nano?+
Neither has a larger sourced maximum output. MolmoAct2-Think is — and GPT-5 Nano is 128,000.
Do MolmoAct2-Think and GPT-5 Nano support reasoning and tool use?+
MolmoAct2-Think: reasoning. GPT-5 Nano: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, MolmoAct2-Think or GPT-5 Nano?+
MolmoAct2-Think has 0 sourced provider routes; GPT-5 Nano has 2, so GPT-5 Nano has broader tracked availability.
Which offers better value, MolmoAct2-Think 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.