GPT-4.1 Mini vs GPT-5.5 Pro
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | GPT-4.1 Mini | GPT-5.5 Pro |
|---|---|---|
| Developer | Openai | Openai |
| Family | Gpt 4 1 | Gpt 5 5 |
| Model | GPT-4.1 Mini | GPT-5.5 Pro |
| Version | GPT-4.1 Mini | GPT-5.5 Pro |
| Lifecycle | active | active |
| Released | Unknown | 2026-04-23 |
| Knowledge cutoff | 2024-06-01 | 2025-12-01 |
| Input modalities | Unknown | Unknown |
| Output modalities | Unknown | Unknown |
| Context window | 1,047,576 | 1,050,000 |
| Total parameters | Unknown | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | Yes | Yes |
| Self-hostable | No | No |
| Provider access | Openai (Standard), Openrouter (Standard) | Openai (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, tools | chat, generation, reasoning, structured_outputs, tools |
12 comparable fields · 6 material differences · Interactive comparison only; indexing gate not met
GPT-4.1 Mini Capabilities
GPT-5.5 Pro Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
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GPT-5.4 MiniOpenAI | vs | GPT-5.5 ProOpenAI | family variantsimage, text |
Claude Opus 4.6Anthropic | vs | GPT-5.5 ProOpenAI | cross-developer peersimage, text |
Claude Opus 4.7Anthropic | vs | GPT-5.5 ProOpenAI | cross-developer peersimage, text |
GPT-4.1OpenAI | vs | GPT-5.5 ProOpenAI | family variantsimage, text |
GPT-4.1 MiniOpenAI | vs | GPT-5.4OpenAI | family variantsimage, text |
GPT-4.1 MiniOpenAI | vs | GPT-4o MiniOpenAI | family variantsimage, text |
GPT-5.5 ProOpenAI | vs | cross-developer peersimage, text | |
GPT-4.1 MiniOpenAI | vs | GPT-5.6 TerraOpenAI | family variantsimage, text |
Claude Sonnet 5Anthropic | vs | GPT-5.5 ProOpenAI | cross-developer peersimage, text |
 MiniMax-M3MiniMax | vs | GPT-4.1 MiniOpenAI | cross-developer peersimage, text |
Claude Fable 5Anthropic | vs | GPT-4.1 MiniOpenAI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
GPT-4.1 Mini vs GPT-5.5 Pro FAQs
Is GPT-4.1 Mini or GPT-5.5 Pro better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both GPT-4.1 Mini and GPT-5.5 Pro, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, GPT-4.1 Mini or GPT-5.5 Pro?+
GPT-4.1 Mini is $0.20 and GPT-5.5 Pro is $30.00 per million tokens, so GPT-4.1 Mini is cheaper on this metric. GPT-4.1 Mini is $0.80 and GPT-5.5 Pro is $180.00 per million tokens, so GPT-4.1 Mini is cheaper on this metric.
Which has a larger context window, GPT-4.1 Mini or GPT-5.5 Pro?+
GPT-5.5 Pro has the larger sourced context window. GPT-4.1 Mini supports 1,047,576 and GPT-5.5 Pro supports 1,050,000.
Which performs better in benchmarks, GPT-4.1 Mini or GPT-5.5 Pro?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can GPT-4.1 Mini or GPT-5.5 Pro be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. GPT-4.1 Mini is not marked open weight; GPT-5.5 Pro is not marked open weight.
Can GPT-4.1 Mini and GPT-5.5 Pro understand images?+
GPT-4.1 Mini is not documented with image input; GPT-5.5 Pro is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, GPT-4.1 Mini or GPT-5.5 Pro?+
GPT-5.5 Pro has the larger sourced maximum output: GPT-4.1 Mini supports 32,768 and GPT-5.5 Pro supports 128,000 output tokens.
Do GPT-4.1 Mini and GPT-5.5 Pro support reasoning and tool use?+
GPT-4.1 Mini: tool calling. GPT-5.5 Pro: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, GPT-4.1 Mini or GPT-5.5 Pro?+
GPT-4.1 Mini has 2 sourced provider routes; GPT-5.5 Pro has 2, a tie.
Which offers better value, GPT-4.1 Mini or GPT-5.5 Pro?+
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.