Nemotron VoiceChat vs Mistral Large 2.1
Nemotron VoiceChat comes out ahead, 65 to 26 on our weighted score, and it is the cheaper option too.
- Our pick
NVIDIANemotron VoiceChat
65/100- ECI—
- PriceFree / Free
- Context128K
Mistral AIMistral Large 2.1
26/100- ECI128.5
- Price$2.00 / $6.00
- Context131K
Add a model
Make it a three-way comparison.
Nemotron VoiceChat is our pick
Nemotron VoiceChat is the better all-round choice, scoring 65/100 against Mistral Large 2.1 (26). It leads on price and inputs & features. 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 VoiceChatNemotron VoiceChat Free · Mistral Large 2.1 $3.00 per 1M tokens (3:1 blend)
- Longest contextMistral Large 2.1Mistral Large 2.1 131,072 · Nemotron VoiceChat 128,000 tokens
- Widest inputsNemotron VoiceChatNemotron VoiceChat: Text, Audio · Mistral Large 2.1: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Nemotron VoiceChat | Mistral Large 2.1 |
|---|---|---|---|
| Price | 50% | 100 | 27 |
| Inputs & features | 30% | 35 | 25 |
| Context window | 20% | 24 | 24 |
| Overall | 100% | 65/100 | 26/100 |
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 VoiceChatNVIDIA | Mistral Large 2.1Mistral AI |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | 128.5 |
| ECI rank | — | #130 of 148 |
| GPQA DiamondGraduate-level science questions | — | 51.3% |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 7.8% |
| Price per million tokens | ||
| Input | Free (best) | $2.00 |
| Output | Free (best) | $6.00 |
| Cached input | — | — |
| Blended (3:1) | Free (best) | $3.00 |
| Long-context rate | Same rate | Same rate |
| Price source | Official Nvidia API | Official Mistral API |
| Limits | ||
| Context window | 128,000 tokens | 131,072 tokens (best) |
| Max output | 8,192 tokens | 16,384 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | Yes | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Open | Open |
| API model ID | nvidia/nemotron-voicechat | mistral-large-2411 |
| API providers | 1 | 2 (best) |
| Released | Mar 16, 2026 | Nov 18, 2024 |
| Knowledge cutoff | — | Nov 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Nemotron VoiceChatFree
- Mistral Large 2.1$32.00
Which should you choose?
Which is better: Nemotron VoiceChat or Mistral Large 2.1?
Nemotron VoiceChat is the better all-round choice, scoring 65/100 against Mistral Large 2.1 (26). It leads on price and inputs & features. 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 VoiceChat or Mistral Large 2.1?
Nemotron VoiceChat is cheaper at Free input / Free output per million tokens (official Nvidia API price). Mistral Large 2.1 costs $2.00 input / $6.00 output per million tokens (official Mistral API price). Nemotron VoiceChat is listed as free.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Nemotron VoiceChat has not been scored yet and Mistral Large 2.1 has an ECI of 128.5.
Which is better for coding?
There are no published SWE-bench Verified results for Nemotron VoiceChat and Mistral Large 2.1 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?
Mistral Large 2.1 has the largest context window at 131,072 tokens, against 128,000 for Nemotron VoiceChat. Maximum output per response: Nemotron VoiceChat up to 8,192, Mistral Large 2.1 up to 16,384 tokens.
Which can read images, PDFs, audio or video?
Nemotron VoiceChat accepts text and audio; Mistral Large 2.1 accepts text. Nemotron VoiceChat handles the widest range of inputs.
Are any of these open source?
Yes, both publish their weights, so you can self-host them.
Which is newer?
Nemotron VoiceChat is the newest, released Mar 16, 2026. Mistral Large 2.1 came out Nov 18, 2024. Knowledge cutoff: Mistral Large 2.1 Nov 2024.
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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