Ministral 3 14B vs Gemma-SEA-LION-v4-27B-IT
Ministral 3 14B comes out ahead, 63 to 39 on our weighted score, and it is the cheaper option too.
- Our pick
Mistral AIMinistral 3 14B
63/100- ECI—
- Price$0.268 / $0.325
- Context262K
AI Singapore
Gemma-SEA-LION-v4-27B-IT
39/100- ECI—
- Price$0.351 / $0.555
- Context128K
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Make it a three-way comparison.
Ministral 3 14B is our pick
Ministral 3 14B is the better all-round choice, scoring 63/100 against Gemma-SEA-LION-v4-27B-IT (39). 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 priceMinistral 3 14BMinistral 3 14B $0.282 · Gemma-SEA-LION-v4-27B-IT $0.402 per 1M tokens (3:1 blend)
- Longest contextMinistral 3 14BMinistral 3 14B 262,144 · Gemma-SEA-LION-v4-27B-IT 128,000 tokens
- Widest inputsMinistral 3 14BMinistral 3 14B: Text, Images · Gemma-SEA-LION-v4-27B-IT: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Ministral 3 14B | Gemma-SEA-LION-v4-27B-IT |
|---|---|---|---|
| Price | 50% | 76 | 69 |
| Inputs & features | 30% | 60 | 0 |
| Context window | 20% | 37 | 24 |
| Overall | 100% | 63/100 | 39/100 |
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 | Ministral 3 14BMistral AI | Gemma-SEA-LION-v4-27B-ITAI Singapore |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.268 (best) | $0.351 |
| Output | $0.325 (best) | $0.555 |
| Cached input | — | — |
| Blended (3:1) | $0.282 (best) | $0.402 |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 2 providers | Median of 2 providers |
| Limits | ||
| Context window | 262,144 tokens (best) | 128,000 tokens |
| Max output | 262,144 tokens (best) | 128,000 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | Yes | No |
| Structured output | Yes | No |
| Availability | ||
| Weights | OpenApache 2.0 | Open |
| API model ID | — | — |
| API providers | 2 | 2 |
| Released | Dec 2, 2025 | Sep 23, 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.
- Ministral 3 14B$3.33
- Gemma-SEA-LION-v4-27B-IT$4.62
Which should you choose?
Which is better: Ministral 3 14B or Gemma-SEA-LION-v4-27B-IT?
Ministral 3 14B is the better all-round choice, scoring 63/100 against Gemma-SEA-LION-v4-27B-IT (39). 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, Ministral 3 14B or Gemma-SEA-LION-v4-27B-IT?
Ministral 3 14B is cheaper at $0.268 input / $0.325 output per million tokens (median across 2 API providers). Gemma-SEA-LION-v4-27B-IT costs $0.351 input / $0.555 output per million tokens (median across 2 API providers). At a typical mix of three input tokens to one output token, that is $0.282 per million tokens for Ministral 3 14B versus $0.402 for Gemma-SEA-LION-v4-27B-IT (1.4× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Ministral 3 14B has not been scored yet and Gemma-SEA-LION-v4-27B-IT has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Ministral 3 14B and Gemma-SEA-LION-v4-27B-IT 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?
Ministral 3 14B has the largest context window at 262,144 tokens, against 128,000 for Gemma-SEA-LION-v4-27B-IT. Maximum output per response: Ministral 3 14B up to 262,144, Gemma-SEA-LION-v4-27B-IT up to 128,000 tokens.
Which can read images, PDFs, audio or video?
Ministral 3 14B accepts text and images; Gemma-SEA-LION-v4-27B-IT accepts text. Ministral 3 14B handles the widest range of inputs.
Are any of these open source?
Yes, both publish their weights (Apache 2.0), so you can self-host them.
Which is newer?
Ministral 3 14B is the newest, released Dec 2, 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.
