MiniMax-M3.1-Flash-Preview vs GPT-5.4 nano
MiniMax-M3.1-Flash-Preview comes out ahead, 66 to 60 on our weighted score.
- Our pick
MiniMaxMiniMax-M3.1-Flash-Preview
66/100- ECI—
- Price—
- Context1M
OpenAIGPT-5.4 nano
60/100- ECI145.8
- Price$0.20 / $1.25
- Context400K
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Make it a three-way comparison.
MiniMax-M3.1-Flash-Preview is our pick
MiniMax-M3.1-Flash-Preview is the better all-round choice, scoring 66/100 against GPT-5.4 nano (60). It leads on context window. The score weighs inputs & features 60%, context window 40%. 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 priceGPT-5.4 nanoGPT-5.4 nano $0.463 per 1M tokens (3:1 blend) · MiniMax-M3.1-Flash-Preview unpriced
- Longest contextMiniMax-M3.1-Flash-PreviewMiniMax-M3.1-Flash-Preview 1,000,000 · GPT-5.4 nano 400,000 tokens
- Widest inputsMiniMax-M3.1-Flash-PreviewMiniMax-M3.1-Flash-Preview: Text, Images, Video · GPT-5.4 nano: Text, Images
- Self-hostingNo open weightsBoth are available only through APIs
| Measure | Weight | MiniMax-M3.1-Flash-Preview | GPT-5.4 nano |
|---|---|---|---|
| Inputs & features | 60% | 70 | 70 |
| Context window | 40% | 60 | 44 |
| Overall | 100% | 66/100 | 60/100 |
Left out because at least one model lacks the data: capability and price. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | MiniMax-M3.1-Flash-PreviewMiniMax | GPT-5.4 nanoOpenAI |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | 145.8 |
| ECI rank | — | #75 of 148 |
| GPQA DiamondGraduate-level science questions | — | 78.5% |
| FrontierMath Tiers 1–3Research-level mathematics | — | 44.9% |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 87.8% |
| SimpleQA VerifiedShort factual questions | — | 11.7% |
| Price per million tokens | ||
| Input | — | $0.20 |
| Output | — | $1.25 |
| Cached input | — | $0.02 |
| Blended (3:1) | — | $0.463 |
| Long-context rate | — | Same rate |
| Price source | — | Official OpenAI API |
| Limits | ||
| Context window | 1,000,000 tokens (best) | 400,000 tokens |
| Max output | 512,000 tokens (best) | 128,000 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | Yes |
| PDFs | No | No |
| Audio | No | No |
| Video | Yes | No |
| Reasoning | Yes | Yeslow · medium · high · xhigh |
| Tool calling | Yes | Yes |
| Structured output | No | Yes |
| Availability | ||
| Weights | Proprietary | Proprietary |
| API model ID | — | gpt-5.4-nano |
| API providers | — | 26 |
| Released | Sep 27, 2026 | Mar 17, 2026 |
| Knowledge cutoff | — | Aug 31, 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- MiniMax-M3.1-Flash-Preview—
- GPT-5.4 nano$4.50
Which should you choose?
Which is better: MiniMax-M3.1-Flash-Preview or GPT-5.4 nano?
MiniMax-M3.1-Flash-Preview is the better all-round choice, scoring 66/100 against GPT-5.4 nano (60). It leads on context window. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, MiniMax-M3.1-Flash-Preview or GPT-5.4 nano?
GPT-5.4 nano is cheaper at $0.20 input / $1.25 output per million tokens (official OpenAI API price). . At a typical mix of three input tokens to one output token, that is $0.463 per million tokens for GPT-5.4 nano versus . MiniMax-M3.1-Flash-Preview has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. MiniMax-M3.1-Flash-Preview has not been scored yet and GPT-5.4 nano has an ECI of 145.8.
Which is better for coding?
There are no published SWE-bench Verified results for MiniMax-M3.1-Flash-Preview and GPT-5.4 nano 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-M3.1-Flash-Preview has the largest context window at 1,000,000 tokens, against 400,000 for GPT-5.4 nano. Maximum output per response: MiniMax-M3.1-Flash-Preview up to 512,000, GPT-5.4 nano up to 128,000 tokens.
Which can read images, PDFs, audio or video?
MiniMax-M3.1-Flash-Preview accepts text, images and video; GPT-5.4 nano accepts text and images. MiniMax-M3.1-Flash-Preview handles the widest range of inputs.
Are any of these open source?
No. MiniMax-M3.1-Flash-Preview and GPT-5.4 nano are proprietary and only available through APIs and apps.
Which is newer?
MiniMax-M3.1-Flash-Preview is the newest, released Sep 27, 2026. GPT-5.4 nano came out Mar 17, 2026. Knowledge cutoff: GPT-5.4 nano Aug 31, 2025.
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.
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