GPT-5 Pro vs MiniMax-01
MiniMax-01 costs 109.1x less per output token than GPT-5 Pro ($1.10 vs $120.00 per million). Updated October 22, 2026; 1 benchmarks have a result for both.
GPT-5 Pro or MiniMax-01: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Compare them on price, context and the boards below.
- Shared results
- 1
- GPT-5 Pro only
- 8
- MiniMax-01 only
- 0
- Like-for-like categories
- 1 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
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
MiniMax-01
MiniMax-01 takes 1M tokens against 400K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiniMax-01
GPT-5 Pro $0.075, MiniMax-01 $0.0008 per turn.
List prices
At a glance
- Coding index
- GPT-5 Pro not benchmarked, MiniMax-01 not benchmarked.
- Widest category
- Reasoning, 34.3 points apart on average over 1 shared benchmark.
- Widest single gap
- Kagi LLM Benchmark: GPT-5 Pro 76.8% against MiniMax-01 42.5%, 34.3 points apart on a 0 to 100 scale.
- Output price
- GPT-5 Pro $120.00 against MiniMax-01 $1.10 per million output tokens, 109.1x apart.
- Context window
- GPT-5 Pro takes 400K tokens, MiniMax-01 1M.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | GPT-5 Pro | Bars | MiniMax-01 | Ties |
|---|---|---|---|---|
| Reasoning | 1 | 0 | ||
| All shared boards | 1 | 0 |
CodingDirectional onlySix of these boards feed the Vibe Coding Index1 board, none shared
| Benchmark | GPT-5 Pro | MiniMax-01 | Leader |
|---|---|---|---|
| WeirdML | 60.4% | Not measured | Only GPT-5 Pro measured |
| Neither model has a result on the other 38 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | GPT-5 Pro | MiniMax-01 | Leader |
|---|---|---|---|
| Epoch Capabilities Index | 150.6 | Not measured | Only GPT-5 Pro measured |
| Neither model has a result on the other 1 board here | |||
Agentic workNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-5 Pro | MiniMax-01 | Leader |
|---|---|---|---|
| Neither model has a result on 41 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | GPT-5 Pro | MiniMax-01 | Leader |
|---|---|---|---|
| ARC-AGI | 70.2% | Not measured | Only GPT-5 Pro measured |
| ARC-AGI-2 | 18.3% | Not measured | Only GPT-5 Pro measured |
| SimpleBench | 61.6% | Not measured | Only GPT-5 Pro measured |
| Chess puzzles | 48.0% | Not measured | Only GPT-5 Pro measured |
| Kagi LLM Benchmark | 76.8% | 42.5% | GPT-5 Pro |
| Neither model has a result on the other 17 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | GPT-5 Pro | MiniMax-01 | Leader |
|---|---|---|---|
| FrontierMath, tiers 1 to 3 | 55.8% | Not measured | Only GPT-5 Pro measured |
| FrontierMath, tier 4 | 19.5% | Not measured | Only GPT-5 Pro measured |
| Neither model has a result on the other 11 boards here | |||
KnowledgeNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-5 Pro | MiniMax-01 | Leader |
|---|---|---|---|
| Neither model has a result on 18 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-5 Pro | MiniMax-01 | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-5 Pro | MiniMax-01 | Leader |
|---|---|---|---|
| Neither model has a result on 46 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-5 Pro | MiniMax-01 | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
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
MiniMax-01 costs less
Repository review
50K input + 3K output tokens
MiniMax-01 costs less
Agent loop
200K input + 10K output tokens
MiniMax-01 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 Pro | MiniMax-01 |
|---|---|---|
| Maker | OpenAI | MiniMax |
| Weights | No public weights listed | Open weights |
| Released | October 6, 2025 | January 15, 2025 |
| Context window | 400K | 1M |
| Input $/Mtok | $15.00 | $0.20 |
| Output $/Mtok | $120.00 | $1.10 |
| 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 Pro better than MiniMax-01 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Compare them on price, context and the boards below.
Which is cheaper, GPT-5 Pro or MiniMax-01?
GPT-5 Pro costs $15.00 per million input tokens and $120.00 per million output tokens; MiniMax-01 costs $0.20 and $1.10. Cost per solved task is known for neither of them.
Which has the bigger context window, GPT-5 Pro or MiniMax-01?
MiniMax-01, with 1M tokens against 400K.
How many benchmarks is the GPT-5 Pro vs MiniMax-01 comparison based on?
1 benchmarks have a result for both models as of October 22, 2026. GPT-5 Pro's coding index rests on 0 independent benchmarks and MiniMax-01's on 0. Where only one model has a result, the page says so instead of naming a winner.