Trinity Mini vs Sarvam 105B
Too close to call on our weighted score (Trinity Mini 65, Sarvam 105B 65). The right pick depends on what you value most.
Arcee AITrinity Mini
65/100- ECI—
- Price$0.045 / $0.15
- Context131K
Sarvam AI
Sarvam 105B
65/100- ECI—
- Price$0.047 / $0.186
- Context131K
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Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within a point (Trinity Mini 65/100, Sarvam 105B 65/100), so choose by what matters most for your work: Trinity Mini 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 priceTrinity MiniTrinity Mini $0.071 · Sarvam 105B $0.082 per 1M tokens (3:1 blend)
- Longest contextAbout the sameTrinity Mini 131,072 · Sarvam 105B 131,072 tokens
- Widest inputsSame inputsTrinity Mini: Text · Sarvam 105B: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Trinity Mini | Sarvam 105B |
|---|---|---|---|
| Price | 50% | 100 | 100 |
| Inputs & features | 30% | 35 | 35 |
| Context window | 20% | 24 | 24 |
| Overall | 100% | 65/100 | 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 | Trinity MiniArcee AI | Sarvam 105BSarvam AI |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.045 (best) | $0.047 |
| Output | $0.15 (best) | $0.186 |
| Cached input | — | — |
| Blended (3:1) | $0.071 (best) | $0.082 |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 1 providers | Median of 2 providers |
| Limits | ||
| Context window | 131,072 tokens | 131,072 tokens |
| Max output | 131,072 tokens | 131,072 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yes | Yes · low · medium · high |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | OpenOpenMDW-1.1 | Open |
| API model ID | — | sarvam-105b |
| API providers | 1 | 3 (best) |
| Released | Dec 1, 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.
- Trinity Mini$0.75
- Sarvam 105B$0.842
Which should you choose?
Which is better: Trinity Mini or Sarvam 105B?
It is close. Our weighted score puts them within a point (Trinity Mini 65/100, Sarvam 105B 65/100), so choose by what matters most for your work: Trinity Mini 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, Trinity Mini or Sarvam 105B?
Trinity Mini is cheaper at $0.045 input / $0.15 output per million tokens (median across 1 API provider). Sarvam 105B costs $0.047 input / $0.186 output per million tokens (median across 2 API providers). At a typical mix of three input tokens to one output token, that is $0.071 per million tokens for Trinity Mini versus $0.082 for Sarvam 105B (1.1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Trinity Mini 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 Trinity Mini and Sarvam 105B 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?
Trinity Mini and Sarvam 105B share the same 131,072-token context window. Maximum output per response: Trinity Mini up to 131,072, Sarvam 105B up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Trinity Mini 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 (OpenMDW-1.1), so you can self-host them.
Which is newer?
Trinity Mini is the newest, released Dec 1, 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.
