Which is cheaper, Llama-3.3 Nemotron Super 49B v1 or Pixtral Large?
As of August 30, 2026, Llama-3.3 Nemotron Super 49B v1 is 94% cheaper on blended LLM API pricing. Llama-3.3 Nemotron Super 49B v1 costs $0.10 per million input tokens and $0.40 per million output tokens ($0.50 blended 1M-in + 1M-out). Pixtral Large costs $2.00 / $6.00 per million tokens ($8.00 blended). Sources: https://build.nvidia.com/nvidia/llama-3_3-nemotron-super-49b-v1 and https://docs.mistral.ai/platform/pricing/. The cheapest LLM for your app still depends on how many output tokens you generate.
How much does Llama-3.3 Nemotron Super 49B v1 vs Pixtral Large cost per million tokens?
Llama-3.3 Nemotron Super 49B v1 NVIDIA API pricing is $0.10 input and $0.40 output per million tokens via NVIDIA. Pixtral Large Mistral API pricing is $2.00 input and $6.00 output per million tokens via Mistral AI. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
Which is better for coding, Llama-3.3 Nemotron Super 49B v1 or Pixtral Large?
Neither Llama-3.3 Nemotron Super 49B v1 nor Pixtral Large has a published SWE-bench or LiveCodeBench score on this page yet. Use the comparison table for the evals that do exist.
What is the context window for Llama-3.3 Nemotron Super 49B v1 vs Pixtral Large?
Llama-3.3 Nemotron Super 49B v1 supports a 131K token context window, while Pixtral Large supports 128K tokens. Llama-3.3 Nemotron Super 49B v1 offers a larger context window. Filling a larger window bills more input tokens, so the cheaper-per-million model can still cost more on long documents.
Which model performs better on benchmarks, Llama-3.3 Nemotron Super 49B v1 or Pixtral Large?
Shared benchmark scores for Llama-3.3 Nemotron Super 49B v1 and Pixtral Large are still limited. Check the comparison table for the evals each model has published. Check the comparison table for GPQA Diamond, SWE-bench, MMLU, HLE, and the other evals we track. Token price and benchmark score together are the usual LLM comparison, not either number alone.
Is Llama-3.3 Nemotron Super 49B v1 or Pixtral Large better for production use?
Both Llama-3.3 Nemotron Super 49B v1 and Pixtral Large are production API models. For cost-sensitive production traffic, Llama-3.3 Nemotron Super 49B v1 has better economics on the blended 1M-in + 1M-out scale. For maximum capability, weight the benchmark table for your domain. Many production stacks route cheap models for drafts and a frontier model for the hard turn, which is usually cheaper than sending everything to the expensive API.
Can I switch between Llama-3.3 Nemotron Super 49B v1 and Pixtral Large in my app?
Yes. Call Llama-3.3 Nemotron Super 49B v1 through NVIDIA and Pixtral Large through Mistral AI with separate API keys, or through a gateway that already wraps both. Keep prompts in tokens, not characters, when you estimate the invoice. AnotherWrapper templates can swap providers without rewriting auth and billing.
How accurate is this Llama-3.3 Nemotron Super 49B v1 vs Pixtral Large pricing data?
List rates are the latest published NVIDIA API pricing and Mistral API pricing, quoted per million tokens. Official rate sheets: https://build.nvidia.com/nvidia/llama-3_3-nemotron-super-49b-v1 and https://docs.mistral.ai/platform/pricing/. Prompt caching, batch APIs, and committed-use discounts can change the invoice. Benchmark scores are from official publications and independent evals, updated as new numbers land.
What is the output token limit for Llama-3.3 Nemotron Super 49B v1 and Pixtral Large?
Llama-3.3 Nemotron Super 49B v1 supports up to an unspecified number of output tokens per request, while Pixtral Large supports up to 128K output tokens. Output tokens are usually the expensive half of API pricing, so a higher max output cap is a capability, not a discount.
Which model has better throughput, Llama-3.3 Nemotron Super 49B v1 or Pixtral Large?
Pixtral Large has a measured throughput of approximately 0.1 tokens/second. Throughput data for Llama-3.3 Nemotron Super 49B v1 is not yet available. Throughput (tokens per second) and time-to-first-token are why two models with the same per-million-token price can still feel different in chat and agents.
How do I switch the models in this Llama-3.3 Nemotron Super 49B v1 vs Pixtral Large comparison?
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Llama-3.3 Nemotron Super 49B v1 or Pixtral Large from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
