Sarvam 30B vs Nemotron 3.5 Lightning 30B A3B
Nemotron 3.5 Lightning 30B A3B comes out ahead, 71 to 65 on our weighted score, though Sarvam 30B is 2.2× cheaper per token.
Sarvam AI
Sarvam 30B
65/100- ECI—
- Price$0.02 / $0.10
- Context128K
- Our pick
NVIDIANemotron 3.5 Lightning 30B A3B
71/100- ECI—
- Price$0.05 / $0.20
- Context262K
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Make it a three-way comparison.
Nemotron 3.5 Lightning 30B A3B is our pick
Nemotron 3.5 Lightning 30B A3B is the better all-round choice, scoring 71/100 against Sarvam 30B (65). It leads on inputs & features and context window. 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 30BSarvam 30B $0.04 · Nemotron 3.5 Lightning 30B A3B $0.087 per 1M tokens (3:1 blend)
- Longest contextNemotron 3.5 Lightning 30B A3BNemotron 3.5 Lightning 30B A3B 262,144 · Sarvam 30B 128,000 tokens
- Widest inputsSame inputsSarvam 30B: Text · Nemotron 3.5 Lightning 30B A3B: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Sarvam 30B | Nemotron 3.5 Lightning 30B A3B |
|---|---|---|---|
| Price | 50% | 100 | 100 |
| Inputs & features | 30% | 35 | 45 |
| Context window | 20% | 24 | 37 |
| Overall | 100% | 65/100 | 71/100 |
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 | Sarvam 30BSarvam AI | Nemotron 3.5 Lightning 30B A3BNVIDIA |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.02 (best) | $0.05 |
| Output | $0.10 (best) | $0.20 |
| Cached input | — | — |
| Blended (3:1) | $0.04 (best) | $0.087 |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 1 providers | Median of 9 providers |
| Limits | ||
| Context window | 128,000 tokens | 262,144 tokens (best) |
| Max output | 128,000 tokens | 262,144 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yes · low · medium · high | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | Yes |
| Availability | ||
| Weights | Open | Open |
| API model ID | sarvam-30b | nvidia/nemotron-3.5-lightning-30b-a3b |
| API providers | 2 | 12 (best) |
| Released | Feb 18, 2026 | Aug 11, 2026 |
| 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.
- Sarvam 30B$0.40
- Nemotron 3.5 Lightning 30B A3B$0.90
Which should you choose?
Which is better: Sarvam 30B or Nemotron 3.5 Lightning 30B A3B?
Nemotron 3.5 Lightning 30B A3B is the better all-round choice, scoring 71/100 against Sarvam 30B (65). It leads on inputs & features and context window. 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, Sarvam 30B or Nemotron 3.5 Lightning 30B A3B?
Sarvam 30B is cheaper at $0.02 input / $0.10 output per million tokens (median across 1 API provider). Nemotron 3.5 Lightning 30B A3B costs $0.05 input / $0.20 output per million tokens (median across 9 API providers; free on Nvidia). At a typical mix of three input tokens to one output token, that is $0.04 per million tokens for Sarvam 30B versus $0.087 for Nemotron 3.5 Lightning 30B A3B (2.2× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Sarvam 30B has not been scored yet and Nemotron 3.5 Lightning 30B A3B has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Sarvam 30B and Nemotron 3.5 Lightning 30B A3B 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 3.5 Lightning 30B A3B has the largest context window at 262,144 tokens, against 128,000 for Sarvam 30B. Maximum output per response: Sarvam 30B up to 128,000, Nemotron 3.5 Lightning 30B A3B up to 262,144 tokens.
Which can read images, PDFs, audio or video?
Sarvam 30B accepts text; Nemotron 3.5 Lightning 30B A3B 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 3.5 Lightning 30B A3B is the newest, released Aug 11, 2026. Sarvam 30B came out Feb 18, 2026.
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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