Nemotron Nano 9B v2 vs Sarvam 105B
Too close to call on our weighted score (Sarvam 105B 65, Nemotron Nano 9B v2 64). The right pick depends on what you value most.
NVIDIANemotron Nano 9B v2
64/100- ECI—
- Price$0.06 / $0.23
- Context131K
Sarvam AI
Sarvam 105B
65/100- ECI—
- Price$0.047 / $0.186
- Context131K
Add a model
Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within 2 points (Sarvam 105B 65/100, Nemotron Nano 9B v2 64/100), so choose by what matters most for your work: Sarvam 105B 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 · Nemotron Nano 9B v2 $0.102 per 1M tokens (3:1 blend)
- Longest contextAbout the sameNemotron Nano 9B v2 131,072 · Sarvam 105B 131,072 tokens
- Widest inputsSame inputsNemotron Nano 9B v2: Text · Sarvam 105B: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Nemotron Nano 9B v2 | Sarvam 105B |
|---|---|---|---|
| Price | 50% | 97 | 100 |
| Inputs & features | 30% | 35 | 35 |
| Context window | 20% | 24 | 24 |
| Overall | 100% | 64/100 | 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 Nano 9B v2NVIDIA | Sarvam 105BSarvam AI |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.06 | $0.047 (best) |
| Output | $0.23 | $0.186 (best) |
| Cached input | — | — |
| Blended (3:1) | $0.102 | $0.082 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 3 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 | Open | Open |
| API model ID | nvidia/nvidia-nemotron-nano-9b-v2 | sarvam-105b |
| API providers | 4 (best) | 3 |
| Released | Aug 18, 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 Nano 9B v2$1.06
- Sarvam 105B$0.842
Which should you choose?
Which is better: Nemotron Nano 9B v2 or Sarvam 105B?
It is close. Our weighted score puts them within 2 points (Sarvam 105B 65/100, Nemotron Nano 9B v2 64/100), so choose by what matters most for your work: Sarvam 105B 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, Nemotron Nano 9B v2 or Sarvam 105B?
Sarvam 105B is cheaper at $0.047 input / $0.186 output per million tokens (median across 2 API providers). Nemotron Nano 9B v2 costs $0.06 input / $0.23 output per million tokens (median across 3 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 $0.102 for Nemotron Nano 9B v2 (1.3× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Nemotron Nano 9B v2 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 Nano 9B v2 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 Nano 9B v2 and Sarvam 105B share the same 131,072-token context window. Maximum output per response: Nemotron Nano 9B v2 up to 131,072, Sarvam 105B up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Nemotron Nano 9B v2 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?
Sarvam 105B is the newest, released Sep 1, 2025. Nemotron Nano 9B v2 came out Aug 18, 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.
