Which is cheaper, Grok-4.1 Thinking or Mistral Medium 3.5?
As of August 25, 2026, Mistral Medium 3.5 is 50% cheaper on blended LLM API pricing. Mistral Medium 3.5 costs $1.50 per million input tokens and $7.50 per million output tokens ($9.00 blended 1M-in + 1M-out). Grok-4.1 Thinking costs $3.00 / $15.00 per million tokens ($18.00 blended). Sources: https://docs.x.ai/docs/models 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 Grok-4.1 Thinking vs Mistral Medium 3.5 cost per million tokens?
Grok-4.1 Thinking xAI API pricing is $3.00 input and $15.00 output per million tokens via xAI. Mistral Medium 3.5 Mistral API pricing is $1.50 input and $7.50 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, Grok-4.1 Thinking or Mistral Medium 3.5?
Mistral Medium 3.5 has a published SWE-bench Verified score of 77.6%. Grok-4.1 Thinking does not have that eval on this page yet.
What is the context window for Grok-4.1 Thinking vs Mistral Medium 3.5?
Grok-4.1 Thinking supports a 256K token context window, while Mistral Medium 3.5 supports 256K tokens. Both models have the same context window size. 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, Grok-4.1 Thinking or Mistral Medium 3.5?
Mistral Medium 3.5 leads on 1 of 1 shared benchmarks versus Grok-4.1 Thinking's 0 wins. 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 Grok-4.1 Thinking or Mistral Medium 3.5 better for production use?
Both Grok-4.1 Thinking and Mistral Medium 3.5 are production API models. For cost-sensitive production traffic, Mistral Medium 3.5 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 Grok-4.1 Thinking and Mistral Medium 3.5 in my app?
Yes. Call Grok-4.1 Thinking through xAI and Mistral Medium 3.5 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 Grok-4.1 Thinking vs Mistral Medium 3.5 pricing data?
List rates are the latest published xAI API pricing and Mistral API pricing, quoted per million tokens. Official rate sheets: https://docs.x.ai/docs/models 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 Grok-4.1 Thinking and Mistral Medium 3.5?
Grok-4.1 Thinking supports up to 8K output tokens per request, while Mistral Medium 3.5 supports up to 256K 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, Grok-4.1 Thinking or Mistral Medium 3.5?
Grok-4.1 Thinking runs at approximately 80 tokens/second while Mistral Medium 3.5 runs at 1 tokens/second. Grok-4.1 Thinking is faster in raw throughput. 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 Grok-4.1 Thinking vs Mistral Medium 3.5 comparison?
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Grok-4.1 Thinking or Mistral Medium 3.5 from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
