Nemotron 3 Super 120B A12B vs Qwen3.5 9B Base vs Sarvam 105B
Too close to call on our weighted score (Nemotron 3 Super 120B A12B 54, Sarvam 105B 52, Qwen3.5 9B Base 50). The right pick depends on what you value most.
NVIDIANemotron 3 Super 120B A12B
54/100- ECI—
- Price$0.15 / $0.65
- Context262K
Alibaba (Qwen)Qwen3.5 9B Base
50/100- ECI—
- Price$0.30 / $0.807
- Context262K
Sarvam AI
Sarvam 105B
52/100- ECI—
- Price$0.158 / $0.632
- Context131K
Too close to call
It is close. Our weighted score puts them within 2 points (Nemotron 3 Super 120B A12B 54/100, Sarvam 105B 52/100, Qwen3.5 9B Base 50/100), so choose by what matters most for your work: Nemotron 3 Super 120B A12B 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 priceNemotron 3 Super 120B A12BNemotron 3 Super 120B A12B $0.275 · Sarvam 105B $0.276 · Qwen3.5 9B Base $0.427 per 1M tokens (3:1 blend)
- Longest contextNemotron 3 Super 120B A12B and Qwen3.5 9B BaseNemotron 3 Super 120B A12B 262,144 · Qwen3.5 9B Base 262,144 · Sarvam 105B 131,072 tokens
- Widest inputsQwen3.5 9B BaseNemotron 3 Super 120B A12B: Text · Qwen3.5 9B Base: Text, Images, Video · Sarvam 105B: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Nemotron 3 Super 120B A12B | Qwen3.5 9B Base | Sarvam 105B |
|---|---|---|---|---|
| Price | 50% | 73 | 65 | 73 |
| Inputs & features | 30% | 35 | 35 | 35 |
| Context window | 20% | 37 | 37 | 25 |
| Overall | 100% | 54/100 | 50/100 | 52/100 |
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 Super 120B A12BNVIDIA | Qwen3.5 9B BaseAlibaba (Qwen) | Sarvam 105BSarvam AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.15 (best) | $0.30 | $0.158 |
| Output | $0.65 | $0.807 | $0.632 (best) |
| Cached input | — | — | $0.053 |
| Blended (3:1) | $0.275 (best) | $0.427 | $0.276 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 16 providers | Median of 1 providers | Official Sarvam AI API |
| Limits | |||
| Context window | 262,144 tokens (best) | 262,144 tokens (best) | 131,072 tokens |
| Max output | 262,144 tokens (best) | 65,536 tokens | 131,072 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | Yes | No |
| Reasoning | Yes | No | Yeslow · medium · high |
| Tool calling | Yes | No | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Open | OpenApache-2.0 | Open |
| API model ID | — | — | sarvam-105b |
| API providers | 18 (best) | 1 | 3 |
| Released | Mar 11, 2026 | Feb 26, 2026 | Feb 18, 2026 |
| Knowledge cutoff | Jun 2025 | — | — |
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 Super 120B A12B$2.80
- Qwen3.5 9B Base$4.61
- Sarvam 105B$2.84
Which should you choose?
Which is better: Nemotron 3 Super 120B A12B, Qwen3.5 9B Base or Sarvam 105B?
It is close. Our weighted score puts them within 2 points (Nemotron 3 Super 120B A12B 54/100, Sarvam 105B 52/100, Qwen3.5 9B Base 50/100), so choose by what matters most for your work: Nemotron 3 Super 120B A12B 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 3 Super 120B A12B, Qwen3.5 9B Base or Sarvam 105B?
Nemotron 3 Super 120B A12B is cheaper at $0.15 input / $0.65 output per million tokens (median across 16 API providers). Sarvam 105B costs $0.158 input / $0.632 output per million tokens (official Sarvam AI API price); Qwen3.5 9B Base costs $0.30 input / $0.807 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $0.275 per million tokens for Nemotron 3 Super 120B A12B versus $0.276 for Sarvam 105B (1× as much) and $0.427 for Qwen3.5 9B Base (1.6× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Nemotron 3 Super 120B A12B has not been scored yet, Qwen3.5 9B Base 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 Super 120B A12B, Qwen3.5 9B Base and Sarvam 105B yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Qwen3.5 9B Base does not support tool calling, which most coding agents need.
Which has the bigger context window?
Nemotron 3 Super 120B A12B and Qwen3.5 9B Base have the largest context windows (262,144 and 262,144 tokens), against 131,072 for Sarvam 105B. Maximum output per response: Nemotron 3 Super 120B A12B up to 262,144, Qwen3.5 9B Base up to 65,536, Sarvam 105B up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Nemotron 3 Super 120B A12B accepts text; Qwen3.5 9B Base accepts text, images and video; Sarvam 105B accepts text. Qwen3.5 9B Base handles the widest range of inputs.
Are any of these open source?
Yes, all three publish their weights (Apache-2.0), so you can self-host them.
Which is newer?
Nemotron 3 Super 120B A12B is the newest, released Mar 11, 2026. Qwen3.5 9B Base came out Feb 26, 2026; Sarvam 105B came out Feb 18, 2026. Knowledge cutoff: Nemotron 3 Super 120B A12B Jun 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 Nov 2, 2026.
Related comparisons
- Nemotron 3 Super 120B A12B vs Mistral Small 4Mistral AI
- Nemotron 3 Super 120B A12B vs Hy3 previewTencent
- Nemotron 3 Super 120B A12B vs Solar Pro 3Upstage
- Qwen3.5 9B Base vs Mercury 2Inception
- Qwen3.5 9B Base vs Trinity Large ThinkingArcee AI
- Qwen3.5 9B Base vs Nemotron 3 Nano Omni 30B A3B ReasoningNVIDIA
