GPT-5.5 Pro vs o4 Mini High
Updated October 21, 2026. No benchmark has tested both models yet. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
- Coding
- No data
- Overall
- No data
- Output $/M
- $180.00
- Coding
- No data
- Overall
- No data
- Output $/M
- $4.40
Decision reading
Neither model has a coding score yet, so the two cannot be ranked on coding.
GPT-5.5 Pro has the edge where the context window is larger, 1.05M against 200K tokens.
No benchmark has tested both yet. GPT-5.5 Pro has results on Epoch Capabilities Index, ARC-AGI and ARC-AGI-2; o4 Mini High on ALE-Bench and GDPval. Compare them on price and context instead.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Long documents
Listed context window
GPT-5.5 Pro
GPT-5.5 Pro takes 1.05M tokens against 200K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
o4 Mini High
GPT-5.5 Pro $0.120, o4 Mini High $0.0033 per turn.
List prices
At a glance
- Coding index
- GPT-5.5 Pro not benchmarked, o4 Mini High not benchmarked.
- Widest category
- None yet: no category has been tested on both models.
- Widest single gap
- None yet: no benchmark has tested both models.
- Output price
- GPT-5.5 Pro $180.00 against o4 Mini High $4.40 per million output tokens, 40.9x apart.
- Context window
- GPT-5.5 Pro takes 1.05M tokens, o4 Mini High 200K.
Benchmark by benchmark
Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.
CodingDirectional onlySix of these boards feed the Vibe Coding Index1 board measured
| Benchmark | GPT-5.5 Pro | o4 Mini High | Leader |
|---|---|---|---|
| ALE-Bench | Not measured | 826.2 | Only o4 Mini High measured |
| Neither model has a result on the other 37 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | GPT-5.5 Pro | o4 Mini High | Leader |
|---|---|---|---|
| Epoch Capabilities Index | 162.9 | Not measured | Only GPT-5.5 Pro measured |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | GPT-5.5 Pro | o4 Mini High | Leader |
|---|---|---|---|
| GDPval | Not measured | 25.3% | Only o4 Mini High measured |
| Neither model has a result on the other 38 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
| Benchmark | GPT-5.5 Pro | o4 Mini High | Leader |
|---|---|---|---|
| ARC-AGI | 96.5% | Not measured | Only GPT-5.5 Pro measured |
| ARC-AGI-2 | 84.6% | Not measured | Only GPT-5.5 Pro measured |
| SimpleBench | 76.9% | Not measured | Only GPT-5.5 Pro measured |
| Chess puzzles | 62.0% | Not measured | Only GPT-5.5 Pro measured |
| Neither model has a result on the other 17 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | GPT-5.5 Pro | o4 Mini High | Leader |
|---|---|---|---|
| FrontierMath, tiers 1 to 3 | 87.7% | Not measured | Only GPT-5.5 Pro measured |
| FrontierMath, tier 4 | 78.0% | Not measured | Only GPT-5.5 Pro measured |
| Neither model has a result on the other 11 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
o4 Mini High costs less
Repository review
50K input + 3K output tokens
o4 Mini High costs less
Agent loop
200K input + 10K output tokens
o4 Mini High costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | OpenAI GPT-5.5 Pro | OpenAI o4 Mini High |
|---|---|---|
| Maker | OpenAI | OpenAI |
| Weights | No public weights listed | No public weights listed |
| Released | April 24, 2026 | April 16, 2025 |
| Context window | 1.05M | 200K |
| Input $/Mtok | $30.00 | $1.10 |
| Output $/Mtok | $180.00 | $4.40 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-5.5 Pro better than o4 Mini High for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. GPT-5.5 Pro has the edge where the context window is larger, 1.05M against 200K tokens.
Which is cheaper, GPT-5.5 Pro or o4 Mini High?
GPT-5.5 Pro costs $30.00 per million input tokens and $180.00 per million output tokens; o4 Mini High costs $1.10 and $4.40. Cost per solved task is known for neither of them.
Which has the bigger context window, GPT-5.5 Pro or o4 Mini High?
GPT-5.5 Pro, with 1.05M tokens against 200K.
Has any benchmark tested both GPT-5.5 Pro and o4 Mini High?
No benchmark has tested both yet. GPT-5.5 Pro has results on Epoch Capabilities Index, ARC-AGI and ARC-AGI-2; o4 Mini High on ALE-Bench and GDPval. Compare them on price and context instead. Data as of October 21, 2026.