Llama 3.1 Nemotron 70B Instruct vs Mistral Nemotron
Mistral Nemotron comes out ahead, 62 to 45 on our weighted score, and it is the cheaper option too.
NVIDIA
Llama 3.1 Nemotron 70B Instruct
45/100- ECI—
- Price$0.478 / $0.504
- Context128K
- Our pick
NVIDIA
Mistral Nemotron
62/100- ECI—
- PriceFree / Free
- Context128K
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Make it a three-way comparison.
Mistral Nemotron is our pick
Mistral Nemotron is the better all-round choice, scoring 62/100 against Llama 3.1 Nemotron 70B Instruct (45). It leads 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 priceMistral NemotronMistral Nemotron Free · Llama 3.1 Nemotron 70B Instruct $0.485 per 1M tokens (3:1 blend)
- Longest contextAbout the sameLlama 3.1 Nemotron 70B Instruct 128,000 · Mistral Nemotron 128,000 tokens
- Widest inputsSame inputsLlama 3.1 Nemotron 70B Instruct: Text · Mistral Nemotron: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Llama 3.1 Nemotron 70B Instruct | Mistral Nemotron |
|---|---|---|---|
| Price | 50% | 65 | 100 |
| Inputs & features | 30% | 25 | 25 |
| Context window | 20% | 24 | 24 |
| Overall | 100% | 45/100 | 62/100 |
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 | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.478 | Free (best) |
| Output | $0.504 | Free (best) |
| Cached input | — | — |
| Blended (3:1) | $0.485 | Free (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 2 providers | Official Nvidia API |
| Limits | ||
| Context window | 128,000 tokens | 128,000 tokens |
| Max output | 8,192 tokens | 8,192 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Open | Open |
| API model ID | nvidia/llama-3.1-nemotron-70b-instruct | mistralai/mistral-nemotron |
| API providers | 3 (best) | 1 |
| Released | Apr 15, 2025 | Jun 11, 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.
Llama 3.1 Nemotron 70B Instruct$5.79
Mistral NemotronFree
Which should you choose?
Which is better: Llama 3.1 Nemotron 70B Instruct or Mistral Nemotron?
Mistral Nemotron is the better all-round choice, scoring 62/100 against Llama 3.1 Nemotron 70B Instruct (45). It leads 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, Llama 3.1 Nemotron 70B Instruct or Mistral Nemotron?
Mistral Nemotron is cheaper at Free input / Free output per million tokens (official Nvidia API price). Llama 3.1 Nemotron 70B Instruct costs $0.478 input / $0.504 output per million tokens (median across 2 API providers; free on Nvidia). Mistral Nemotron is listed as free.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Llama 3.1 Nemotron 70B Instruct has not been scored yet and Mistral Nemotron has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Llama 3.1 Nemotron 70B Instruct and Mistral Nemotron 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?
Llama 3.1 Nemotron 70B Instruct and Mistral Nemotron share the same 128,000-token context window. Maximum output per response: Llama 3.1 Nemotron 70B Instruct up to 8,192, Mistral Nemotron up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Llama 3.1 Nemotron 70B Instruct accepts text; Mistral Nemotron 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?
Mistral Nemotron is the newest, released Jun 11, 2025. Llama 3.1 Nemotron 70B Instruct came out Apr 15, 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.