Pixtral Large (25.02) vs Llama 3.1 Nemotron 70B Instruct
Llama 3.1 Nemotron 70B Instruct comes out ahead, 45 to 33 on our weighted score, and it is the cheaper option too.
Mistral AIPixtral Large (25.02)
33/100- ECI—
- Price$2.00 / $6.00
- Context128K
- Our pick
NVIDIALlama 3.1 Nemotron 70B Instruct
45/100- ECI—
- Price$0.478 / $0.504
- Context128K
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Make it a three-way comparison.
Llama 3.1 Nemotron 70B Instruct is our pick
Llama 3.1 Nemotron 70B Instruct is the better all-round choice, scoring 45/100 against Pixtral Large (25.02) (33). It leads on price. Pixtral Large (25.02) wins on 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 priceLlama 3.1 Nemotron 70B InstructLlama 3.1 Nemotron 70B Instruct $0.485 · Pixtral Large (25.02) $3.00 per 1M tokens (3:1 blend)
- Longest contextAbout the samePixtral Large (25.02) 128,000 · Llama 3.1 Nemotron 70B Instruct 128,000 tokens
- Widest inputsPixtral Large (25.02)Pixtral Large (25.02): Text, Images · Llama 3.1 Nemotron 70B Instruct: Text
- Self-hostingLlama 3.1 Nemotron 70B InstructPublishes downloadable weights
| Measure | Weight | Pixtral Large (25.02) | Llama 3.1 Nemotron 70B Instruct |
|---|---|---|---|
| Price | 50% | 27 | 65 |
| Inputs & features | 30% | 50 | 25 |
| Context window | 20% | 24 | 24 |
| Overall | 100% | 33/100 | 45/100 |
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 | Pixtral Large (25.02)Mistral AI | Llama 3.1 Nemotron 70B InstructNVIDIA |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $2.00 | $0.478 (best) |
| Output | $6.00 | $0.504 (best) |
| Cached input | — | — |
| Blended (3:1) | $3.00 | $0.485 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 3 providers | Median of 2 providers |
| Limits | ||
| Context window | 128,000 tokens | 128,000 tokens |
| Max output | 8,192 tokens | 8,192 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Proprietary | Open |
| API model ID | — | nvidia/llama-3.1-nemotron-70b-instruct |
| API providers | 3 | 3 |
| Released | Apr 8, 2025 | Apr 15, 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.
- Pixtral Large (25.02)$32.00
- Llama 3.1 Nemotron 70B Instruct$5.79
Which should you choose?
Which is better: Pixtral Large (25.02) or Llama 3.1 Nemotron 70B Instruct?
Llama 3.1 Nemotron 70B Instruct is the better all-round choice, scoring 45/100 against Pixtral Large (25.02) (33). It leads on price. Pixtral Large (25.02) wins on 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, Pixtral Large (25.02) or Llama 3.1 Nemotron 70B Instruct?
Llama 3.1 Nemotron 70B Instruct is cheaper at $0.478 input / $0.504 output per million tokens (median across 2 API providers; free on Nvidia). Pixtral Large (25.02) costs $2.00 input / $6.00 output per million tokens (median across 3 API providers). At a typical mix of three input tokens to one output token, that is $0.485 per million tokens for Llama 3.1 Nemotron 70B Instruct versus $3.00 for Pixtral Large (25.02) (6.2× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Pixtral Large (25.02) has not been scored yet and Llama 3.1 Nemotron 70B Instruct has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Pixtral Large (25.02) and Llama 3.1 Nemotron 70B Instruct 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?
Pixtral Large (25.02) and Llama 3.1 Nemotron 70B Instruct share the same 128,000-token context window. Maximum output per response: Pixtral Large (25.02) up to 8,192, Llama 3.1 Nemotron 70B Instruct up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Pixtral Large (25.02) accepts text and images; Llama 3.1 Nemotron 70B Instruct accepts text. Pixtral Large (25.02) handles the widest range of inputs.
Are any of these open source?
Llama 3.1 Nemotron 70B Instruct publishes its weights and can be self-hosted; Pixtral Large (25.02) is proprietary.
Which is newer?
Llama 3.1 Nemotron 70B Instruct is the newest, released Apr 15, 2025. Pixtral Large (25.02) came out Apr 8, 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.
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