MiniMax-M3 vs MiniMax-M2.7-highspeed
MiniMax-M3 comes out ahead, 65 to 41 on our weighted score, and it is the cheaper option too.
- Our pick
MiniMaxMiniMax-M3
65/100- ECI147.0
- Price$0.30 / $1.20
- Context1.05M
- MiniMax
MiniMax-M2.7-highspeed
41/100- ECI—
- Price$0.60 / $2.40
- Context205K
Add a model
Make it a three-way comparison.
MiniMax-M3 is our pick
MiniMax-M3 is the better all-round choice, scoring 65/100 against MiniMax-M2.7-highspeed (41). It leads on price, inputs & features and context window. 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-M3MiniMax-M3 $0.525 · MiniMax-M2.7-highspeed $1.05 per 1M tokens (3:1 blend)
- Longest contextMiniMax-M3MiniMax-M3 1,048,576 · MiniMax-M2.7-highspeed 204,800 tokens
- Widest inputsMiniMax-M3MiniMax-M3: Text, Images, Video · MiniMax-M2.7-highspeed: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | MiniMax-M3 | MiniMax-M2.7-highspeed |
|---|---|---|---|
| Price | 50% | 63 | 49 |
| Inputs & features | 30% | 70 | 35 |
| Context window | 20% | 61 | 32 |
| Overall | 100% | 65/100 | 41/100 |
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 | MiniMax-M3MiniMax | MiniMax-M2.7-highspeedMiniMax |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 147.0 | — |
| ECI rank | #62 of 148 | — |
| GPQA DiamondGraduate-level science questions | 90.9% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 71.1% | — |
| Price per million tokens | ||
| Input | $0.30 (best) | $0.60 |
| Output | $1.20 (best) | $2.40 |
| Cached input | $0.06 | $0.06 |
| Blended (3:1) | $0.525 (best) | $1.05 |
| Long-context rate | Over 512K: $0.60 / $2.40 | Same rate |
| Price source | Official MiniMax (minimax.io) API | Official MiniMax (minimax.io) API |
| Limits | ||
| Context window | 1,048,576 tokens (best) | 204,800 tokens |
| Max output | 512,000 tokens (best) | 131,072 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | No | No |
| Audio | No | No |
| Video | Yes | No |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Open | Open |
| API model ID | MiniMax-M3 | MiniMax-M2.7-highspeed |
| API providers | 42 (best) | 14 |
| Released | Jun 1, 2026 | Mar 18, 2026 |
| Knowledge cutoff | — | — |
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$5.40
- MiniMax-M2.7-highspeed$10.80
Which should you choose?
Which is better: MiniMax-M3 or MiniMax-M2.7-highspeed?
MiniMax-M3 is the better all-round choice, scoring 65/100 against MiniMax-M2.7-highspeed (41). It leads on price, inputs & features and context window. 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, MiniMax-M3 or MiniMax-M2.7-highspeed?
MiniMax-M3 is cheaper at $0.30 input / $1.20 output per million tokens (official MiniMax (minimax.io) API price). MiniMax-M2.7-highspeed costs $0.60 input / $2.40 output per million tokens (official MiniMax (minimax.io) API price). At a typical mix of three input tokens to one output token, that is $0.525 per million tokens for MiniMax-M3 versus $1.05 for MiniMax-M2.7-highspeed (2× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. MiniMax-M3 has an ECI of 147.0 and MiniMax-M2.7-highspeed has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for MiniMax-M3 and MiniMax-M2.7-highspeed 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 has the largest context window at 1,048,576 tokens, against 204,800 for MiniMax-M2.7-highspeed. Maximum output per response: MiniMax-M3 up to 512,000, MiniMax-M2.7-highspeed up to 131,072 tokens.
Which can read images, PDFs, audio or video?
MiniMax-M3 accepts text, images and video; MiniMax-M2.7-highspeed accepts text. MiniMax-M3 handles the widest range of inputs.
Are any of these open source?
Yes, both publish their weights, so you can self-host them.
Which is newer?
MiniMax-M3 is the newest, released Jun 1, 2026. MiniMax-M2.7-highspeed came out Mar 18, 2026.
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.
Related comparisons
- Add Qwen3.7 PlusThree-way comparison
- MiniMax-M3 vs Qwen3.7 PlusAlibaba (Qwen) · ECI 147.4
- MiniMax-M3 vs GPT-5.4 nanoOpenAI · ECI 145.8
- MiniMax-M3 vs Nemotron 3 Ultra 550B A55BNVIDIA · ECI 146.2
- MiniMax-M3 vs Gemini 3.5 Flash LiteGoogle · ECI 145.1
- MiniMax-M2.7-highspeed vs Qwen3.5 122B-A10BAlibaba (Qwen)
- MiniMax-M2.7-highspeed vs DeepSeek OCR 2DeepSeek
