Ministral 3 3B vs Sarvam 105B
Ministral 3 3B comes out ahead, 74 to 65 on our weighted score, though Sarvam 105B is 18% cheaper per token.
- Our pick
Mistral AIMinistral 3 3B
74/100- ECI—
- Price$0.10 / $0.10
- Context262K
Sarvam AI
Sarvam 105B
65/100- ECI—
- Price$0.047 / $0.186
- Context131K
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Make it a three-way comparison.
Ministral 3 3B is our pick
Ministral 3 3B is the better all-round choice, scoring 74/100 against Sarvam 105B (65). It leads on inputs & features and context window. Sarvam 105B 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 priceSarvam 105BSarvam 105B $0.082 · Ministral 3 3B $0.10 per 1M tokens (3:1 blend)
- Longest contextMinistral 3 3BMinistral 3 3B 262,144 · Sarvam 105B 131,072 tokens
- Widest inputsMinistral 3 3BMinistral 3 3B: Text, Images · Sarvam 105B: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Ministral 3 3B | Sarvam 105B |
|---|---|---|---|
| Price | 50% | 97 | 100 |
| Inputs & features | 30% | 60 | 35 |
| Context window | 20% | 37 | 24 |
| Overall | 100% | 74/100 | 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 | Ministral 3 3BMistral AI | Sarvam 105BSarvam AI |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.10 | $0.047 (best) |
| Output | $0.10 (best) | $0.186 |
| Cached input | — | — |
| Blended (3:1) | $0.10 | $0.082 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 1 providers | Median of 2 providers |
| Limits | ||
| Context window | 262,144 tokens (best) | 131,072 tokens |
| Max output | 262,144 tokens (best) | 131,072 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | Yes · low · medium · high |
| Tool calling | Yes | Yes |
| Structured output | Yes | No |
| Availability | ||
| Weights | OpenApache 2.0 | Open |
| API model ID | — | sarvam-105b |
| API providers | 1 | 3 (best) |
| Released | Dec 2, 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.
- Ministral 3 3B$1.20
- Sarvam 105B$0.842
Which should you choose?
Which is better: Ministral 3 3B or Sarvam 105B?
Ministral 3 3B is the better all-round choice, scoring 74/100 against Sarvam 105B (65). It leads on inputs & features and context window. Sarvam 105B 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, Ministral 3 3B or Sarvam 105B?
Sarvam 105B is cheaper at $0.047 input / $0.186 output per million tokens (median across 2 API providers). Ministral 3 3B costs $0.10 input / $0.10 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $0.082 per million tokens for Sarvam 105B versus $0.10 for Ministral 3 3B (1.2× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Ministral 3 3B 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 Ministral 3 3B 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?
Ministral 3 3B has the largest context window at 262,144 tokens, against 131,072 for Sarvam 105B. Maximum output per response: Ministral 3 3B up to 262,144, Sarvam 105B up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Ministral 3 3B accepts text and images; Sarvam 105B accepts text. Ministral 3 3B 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 3B is the newest, released Dec 2, 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.
