Nemotron 3 Nano 30B A3B vs Sarvam 105B
Too close to call on our weighted score (Nemotron 3 Nano 30B A3B 68, Sarvam 105B 65). The right pick depends on what you value most.
NVIDIANemotron 3 Nano 30B A3B
68/100- ECI—
- Price$0.05 / $0.20
- Context262K
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 2 points (Nemotron 3 Nano 30B A3B 68/100, Sarvam 105B 65/100), so choose by what matters most for your work: Sarvam 105B on price and Nemotron 3 Nano 30B A3B for long inputs. 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 · Nemotron 3 Nano 30B A3B $0.087 per 1M tokens (3:1 blend)
- Longest contextNemotron 3 Nano 30B A3BNemotron 3 Nano 30B A3B 262,144 · Sarvam 105B 131,072 tokens
- Widest inputsSame inputsNemotron 3 Nano 30B A3B: Text · Sarvam 105B: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Nemotron 3 Nano 30B A3B | Sarvam 105B |
|---|---|---|---|
| Price | 50% | 100 | 100 |
| Inputs & features | 30% | 35 | 35 |
| Context window | 20% | 37 | 24 |
| Overall | 100% | 68/100 | 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 | Nemotron 3 Nano 30B A3BNVIDIA | Sarvam 105BSarvam AI |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.05 | $0.047 (best) |
| Output | $0.20 | $0.186 (best) |
| Cached input | — | — |
| Blended (3:1) | $0.087 | $0.082 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 13 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 | 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 | Open | Open |
| API model ID | nvidia/nemotron-3-nano-30b-a3b | sarvam-105b |
| API providers | 16 (best) | 3 |
| Released | Dec 15, 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.
- Nemotron 3 Nano 30B A3B$0.90
- Sarvam 105B$0.842
Which should you choose?
Which is better: Nemotron 3 Nano 30B A3B or Sarvam 105B?
It is close. Our weighted score puts them within 2 points (Nemotron 3 Nano 30B A3B 68/100, Sarvam 105B 65/100), so choose by what matters most for your work: Sarvam 105B on price and Nemotron 3 Nano 30B A3B for long inputs. 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, Nemotron 3 Nano 30B A3B or Sarvam 105B?
Sarvam 105B is cheaper at $0.047 input / $0.186 output per million tokens (median across 2 API providers). Nemotron 3 Nano 30B A3B costs $0.05 input / $0.20 output per million tokens (median across 13 API providers; free on Nvidia). At a typical mix of three input tokens to one output token, that is $0.082 per million tokens for Sarvam 105B versus $0.087 for Nemotron 3 Nano 30B A3B (1.1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Nemotron 3 Nano 30B A3B 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 Nemotron 3 Nano 30B A3B 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?
Nemotron 3 Nano 30B A3B has the largest context window at 262,144 tokens, against 131,072 for Sarvam 105B. Maximum output per response: Nemotron 3 Nano 30B A3B up to 262,144, Sarvam 105B up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Nemotron 3 Nano 30B A3B 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?
Nemotron 3 Nano 30B A3B is the newest, released Dec 15, 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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