Gemma-SEA-LION-v4-27B-IT vs Sarvam 105B
Sarvam 105B comes out ahead, 65 to 39 on our weighted score, and it is the cheaper option too.
AI Singapore
Gemma-SEA-LION-v4-27B-IT
39/100- ECI—
- Price$0.351 / $0.555
- Context128K
- Our pick
Sarvam AI
Sarvam 105B
65/100- ECI—
- Price$0.047 / $0.186
- Context131K
Add a model
Make it a three-way comparison.
Sarvam 105B is our pick
Sarvam 105B is the better all-round choice, scoring 65/100 against Gemma-SEA-LION-v4-27B-IT (39). It leads on price and inputs & features. 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 priceSarvam 105BSarvam 105B $0.082 · Gemma-SEA-LION-v4-27B-IT $0.402 per 1M tokens (3:1 blend)
- Longest contextSarvam 105BSarvam 105B 131,072 · Gemma-SEA-LION-v4-27B-IT 128,000 tokens
- Widest inputsSame inputsGemma-SEA-LION-v4-27B-IT: Text · Sarvam 105B: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Gemma-SEA-LION-v4-27B-IT | Sarvam 105B |
|---|---|---|---|
| Price | 50% | 69 | 100 |
| Inputs & features | 30% | 0 | 35 |
| Context window | 20% | 24 | 24 |
| Overall | 100% | 39/100 | 65/100 |
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 | Sarvam 105BSarvam AI |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.351 | $0.047 (best) |
| Output | $0.555 | $0.186 (best) |
| Cached input | — | — |
| Blended (3:1) | $0.402 | $0.082 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 2 providers | Median of 2 providers |
| Limits | ||
| Context window | 128,000 tokens | 131,072 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 · low · medium · high |
| Tool calling | No | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Open | Open |
| API model ID | — | sarvam-105b |
| API providers | 2 | 3 (best) |
| Released | Sep 23, 2025 | Sep 1, 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
- Sarvam 105B$0.842
Which should you choose?
Which is better: Gemma-SEA-LION-v4-27B-IT or Sarvam 105B?
Sarvam 105B is the better all-round choice, scoring 65/100 against Gemma-SEA-LION-v4-27B-IT (39). It leads on price and inputs & features. 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 Sarvam 105B?
Sarvam 105B is cheaper at $0.047 input / $0.186 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 $0.082 per million tokens for Sarvam 105B versus $0.402 for Gemma-SEA-LION-v4-27B-IT (4.9× 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 Sarvam 105B 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 Sarvam 105B 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?
Sarvam 105B has the largest context window at 131,072 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, Sarvam 105B up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Gemma-SEA-LION-v4-27B-IT accepts text; Sarvam 105B 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?
Gemma-SEA-LION-v4-27B-IT is the newest, released Sep 23, 2025. Sarvam 105B came out Sep 1, 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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