GPT-5.1 Chat vs MiniMax-M2
MiniMax-M2 comes out ahead, 48 to 38 on our weighted score, and it is the cheaper option too.
OpenAI
GPT-5.1 Chat
38/100- ECI—
- Price$1.25 / $10.00
- Context128K
- Our pick
MiniMax
MiniMax-M2
48/100- ECI—
- Price$0.30 / $1.20
- Context205K
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Make it a three-way comparison.
MiniMax-M2 is our pick
MiniMax-M2 is the better all-round choice, scoring 48/100 against GPT-5.1 Chat (38). It leads on price and context window. GPT-5.1 Chat wins on inputs & features. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceMiniMax-M2MiniMax-M2 $0.525 · GPT-5.1 Chat $3.44 per 1M tokens (3:1 blend)
- Longest contextMiniMax-M2MiniMax-M2 204,800 · GPT-5.1 Chat 128,000 tokens
- Widest inputsGPT-5.1 ChatGPT-5.1 Chat: Text, Images · MiniMax-M2: Text
- Self-hostingMiniMax-M2Publishes downloadable weights
| Measure | Weight | GPT-5.1 Chat | MiniMax-M2 |
|---|---|---|---|
| Price | 50% | 24 | 63 |
| Inputs & features | 30% | 70 | 35 |
| Context window | 20% | 24 | 32 |
| Overall | 100% | 38/100 | 48/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $1.25 | $0.30 (best) |
| Output | $10.00 | $1.20 (best) |
| Cached input | — | — |
| Blended (3:1) | $3.44 | $0.525 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 2 providers | Official MiniMax (minimax.io) API |
| Limits | ||
| Context window | 128,000 tokens | 204,800 tokens (best) |
| Max output | 16,384 tokens | 131,072 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output | Yes | No |
| Availability | ||
| Weights | Proprietary | Open |
| API model ID | — | MiniMax-M2 |
| API providers | 2 | 13 (best) |
| Released | Nov 13, 2025 | Oct 27, 2025 |
| Knowledge cutoff | Sep 30, 2024 | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
GPT-5.1 Chat$32.50
MiniMax-M2$5.40
Which should you choose?
Which is better: GPT-5.1 Chat or MiniMax-M2?
MiniMax-M2 is the better all-round choice, scoring 48/100 against GPT-5.1 Chat (38). It leads on price and context window. GPT-5.1 Chat wins on inputs & features. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, GPT-5.1 Chat or MiniMax-M2?
MiniMax-M2 is cheaper at $0.30 input / $1.20 output per million tokens (official MiniMax (minimax.io) API price). GPT-5.1 Chat costs $1.25 input / $10.00 output per million tokens (median across 2 API providers). At a typical mix of three input tokens to one output token, that is $0.525 per million tokens for MiniMax-M2 versus $3.44 for GPT-5.1 Chat (6.5× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. GPT-5.1 Chat has not been scored yet and MiniMax-M2 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for GPT-5.1 Chat and MiniMax-M2 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.
Which has the bigger context window?
MiniMax-M2 has the largest context window at 204,800 tokens, against 128,000 for GPT-5.1 Chat. Maximum output per response: GPT-5.1 Chat up to 16,384, MiniMax-M2 up to 131,072 tokens.
Which can read images, PDFs, audio or video?
GPT-5.1 Chat accepts text and images; MiniMax-M2 accepts text. GPT-5.1 Chat handles the widest range of inputs.
Are any of these open source?
MiniMax-M2 publishes its weights and can be self-hosted; GPT-5.1 Chat is proprietary.
Which is newer?
GPT-5.1 Chat is the newest, released Nov 13, 2025. MiniMax-M2 came out Oct 27, 2025. Knowledge cutoff: GPT-5.1 Chat Sep 30, 2024.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.