Gemma-SEA-LION-v4-27B-IT vs MiniMax-M2
MiniMax-M2 comes out ahead, 48 to 39 on our weighted score, though Gemma-SEA-LION-v4-27B-IT is 23% cheaper per token.
AI Singapore
Gemma-SEA-LION-v4-27B-IT
39/100- ECI—
- Price$0.351 / $0.555
- Context128K
- Our pick
MiniMaxMiniMax-M2
48/100- ECI—
- Price$0.30 / $1.20
- Context205K
Add a model
Make it a three-way comparison.
MiniMax-M2 is our pick
MiniMax-M2 is the better all-round choice, scoring 48/100 against Gemma-SEA-LION-v4-27B-IT (39). It leads on inputs & features and context window. Gemma-SEA-LION-v4-27B-IT wins on price. 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 priceGemma-SEA-LION-v4-27B-ITGemma-SEA-LION-v4-27B-IT $0.402 · MiniMax-M2 $0.525 per 1M tokens (3:1 blend)
- Longest contextMiniMax-M2MiniMax-M2 204,800 · Gemma-SEA-LION-v4-27B-IT 128,000 tokens
- Widest inputsSame inputsGemma-SEA-LION-v4-27B-IT: Text · MiniMax-M2: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Gemma-SEA-LION-v4-27B-IT | MiniMax-M2 |
|---|---|---|---|
| Price | 50% | 69 | 63 |
| Inputs & features | 30% | 0 | 35 |
| Context window | 20% | 24 | 32 |
| Overall | 100% | 39/100 | 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 | Gemma-SEA-LION-v4-27B-ITAI Singapore | MiniMax-M2MiniMax |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.351 | $0.30 (best) |
| Output | $0.555 (best) | $1.20 |
| Cached input | — | — |
| Blended (3:1) | $0.402 (best) | $0.525 |
| 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 | 128,000 tokens | 131,072 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | Yes |
| Tool calling | No | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Open | Open |
| API model ID | — | MiniMax-M2 |
| API providers | 2 | 13 (best) |
| Released | Sep 23, 2025 | Oct 27, 2025 |
| 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.
- Gemma-SEA-LION-v4-27B-IT$4.62
- MiniMax-M2$5.40
Which should you choose?
Which is better: Gemma-SEA-LION-v4-27B-IT or MiniMax-M2?
MiniMax-M2 is the better all-round choice, scoring 48/100 against Gemma-SEA-LION-v4-27B-IT (39). It leads on inputs & features and context window. Gemma-SEA-LION-v4-27B-IT wins on price. 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, Gemma-SEA-LION-v4-27B-IT or MiniMax-M2?
Gemma-SEA-LION-v4-27B-IT is cheaper at $0.351 input / $0.555 output per million tokens (median across 2 API providers). MiniMax-M2 costs $0.30 input / $1.20 output per million tokens (official MiniMax (minimax.io) API price). At a typical mix of three input tokens to one output token, that is $0.402 per million tokens for Gemma-SEA-LION-v4-27B-IT versus $0.525 for MiniMax-M2 (1.3× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Gemma-SEA-LION-v4-27B-IT 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 Gemma-SEA-LION-v4-27B-IT and MiniMax-M2 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Gemma-SEA-LION-v4-27B-IT does not support tool calling, which most coding agents need.
Which has the bigger context window?
MiniMax-M2 has the largest context window at 204,800 tokens, against 128,000 for Gemma-SEA-LION-v4-27B-IT. Maximum output per response: Gemma-SEA-LION-v4-27B-IT up to 128,000, MiniMax-M2 up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Gemma-SEA-LION-v4-27B-IT accepts text; MiniMax-M2 accepts text. They handle the same number of input types.
Are any of these open source?
Yes, both publish their weights, so you can self-host them.
Which is newer?
MiniMax-M2 is the newest, released Oct 27, 2025. Gemma-SEA-LION-v4-27B-IT came out Sep 23, 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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