Codestral 25.08 vs Gemma-SEA-LION-v4-27B-IT
Too close to call on our weighted score (Codestral 25.08 47, Gemma-SEA-LION-v4-27B-IT 45). The right pick depends on what you value most.
Mistral AICodestral 25.08
47/100- ECI—
- Price$0.30 / $0.90
- Context128K
AI Singapore
Gemma-SEA-LION-v4-27B-IT
45/100- ECI—
- Price$0.351 / $0.555
- Context128K
Add a model
Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within 2 points (Codestral 25.08 47/100, Gemma-SEA-LION-v4-27B-IT 45/100), so choose by what matters most for your work: Gemma-SEA-LION-v4-27B-IT 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 · Codestral 25.08 $0.45 per 1M tokens (3:1 blend)
- Longest contextAbout the sameCodestral 25.08 128,000 · Gemma-SEA-LION-v4-27B-IT 128,000 tokens
- Widest inputsGemma-SEA-LION-v4-27B-ITCodestral 25.08: Text · Gemma-SEA-LION-v4-27B-IT: Text, Images
- Self-hostingGemma-SEA-LION-v4-27B-ITPublishes downloadable weights
| Measure | Weight | Codestral 25.08 | Gemma-SEA-LION-v4-27B-IT |
|---|---|---|---|
| Price | 50% | 64 | 66 |
| Inputs & features | 30% | 35 | 25 |
| Context window | 20% | 24 | 24 |
| Overall | 100% | 47/100 | 45/100 |
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 | Codestral 25.08Mistral AI | Gemma-SEA-LION-v4-27B-ITAI Singapore |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.30 (best) | $0.351 |
| Output | $0.90 | $0.555 (best) |
| Cached input | $0.03 | — |
| Blended (3:1) | $0.45 | $0.402 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official Mistral API | Median of 3 providers |
| Limits | ||
| Context window | 128,000 tokens | 128,000 tokens |
| Max output | 8,192 tokens | 128,000 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | Yes |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | Yes | No |
| Structured output | Yes | No |
| Availability | ||
| Weights | Proprietary | Open |
| API model ID | codestral-2508 | — |
| API providers | 11 (best) | 3 |
| Released | Jul 30, 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.
- Codestral 25.08$4.80
- Gemma-SEA-LION-v4-27B-IT$4.62
Which should you choose?
Which is better: Codestral 25.08 or Gemma-SEA-LION-v4-27B-IT?
It is close. Our weighted score puts them within 2 points (Codestral 25.08 47/100, Gemma-SEA-LION-v4-27B-IT 45/100), so choose by what matters most for your work: Gemma-SEA-LION-v4-27B-IT 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, Codestral 25.08 or Gemma-SEA-LION-v4-27B-IT?
Gemma-SEA-LION-v4-27B-IT is cheaper at $0.351 input / $0.555 output per million tokens (median across 3 API providers). Codestral 25.08 costs $0.30 input / $0.90 output per million tokens (official Mistral 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 $0.45 for Codestral 25.08 (1.1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Codestral 25.08 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 Codestral 25.08 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?
Codestral 25.08 and Gemma-SEA-LION-v4-27B-IT share the same 128,000-token context window. Maximum output per response: Codestral 25.08 up to 8,192, Gemma-SEA-LION-v4-27B-IT up to 128,000 tokens.
Which can read images, PDFs, audio or video?
Codestral 25.08 accepts text; Gemma-SEA-LION-v4-27B-IT accepts text and images. Gemma-SEA-LION-v4-27B-IT handles the widest range of inputs.
Are any of these open source?
Gemma-SEA-LION-v4-27B-IT publishes its weights and can be self-hosted; Codestral 25.08 is proprietary.
Which is newer?
Gemma-SEA-LION-v4-27B-IT is the newest, released Sep 23, 2025. Codestral 25.08 came out Jul 30, 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 Nov 2, 2026.
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