As of August 21, 2026, o4-mini is 31% cheaper per million tokens than Pixtral Large. o4-mini is $1.10 / $4.40 per million input/output tokens versus Pixtral Large at $2.00 / $6.00. Sources: https://developers.openai.com/api/docs/pricing and https://docs.mistral.ai/platform/pricing/
Sources: OpenAI API pricing (https://developers.openai.com/api/docs/pricing); Mistral AI pricing (https://docs.mistral.ai/platform/pricing/)
o4-mini
OpenAI
Input
$1.10
Output
$4.40
Pixtral Large
Mistral
Input
$2.00
Output
$6.00
Token pricing, specs, and benchmarks side by side
o4-miniPixtral LargeVerdict
o4-mini offers both lower pricing and stronger benchmark performance across the board, making it the clear value leader in this comparison.
As of August 21, 2026, o4-mini is 31% cheaper on blended LLM API pricing. o4-mini costs $1.10 per million input tokens and $4.40 per million output tokens ($5.50 blended 1M-in + 1M-out). Pixtral Large costs $2.00 / $6.00 per million tokens ($8.00 blended). Sources: https://developers.openai.com/api/docs/pricing and https://docs.mistral.ai/platform/pricing/. The cheapest LLM for your app still depends on how many output tokens you generate.
o4-mini OpenAI API pricing is $1.10 input and $4.40 output per million tokens via OpenAI. 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.
o4-mini has a published SWE-bench Verified score of 68.1%. Pixtral Large does not have that eval on this page yet.
o4-mini supports a 200K token context window, while Pixtral Large supports 128K tokens. o4-mini 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.
o4-mini leads on 2 of 2 shared benchmarks versus Pixtral Large'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.
Both o4-mini and Pixtral Large are production API models. For cost-sensitive production traffic, o4-mini 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.
Yes. Call o4-mini through OpenAI 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.
List rates are the latest published OpenAI API pricing and Mistral API pricing, quoted per million tokens. Official rate sheets: https://developers.openai.com/api/docs/pricing 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.
o4-mini supports up to 100K 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.
o4-mini runs at approximately 115 tokens/second while Pixtral Large runs at 0.1 tokens/second. o4-mini 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.
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open o4-mini 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.
This comparison covers API pricing, context window, throughput, and benchmark scores. o4-mini costs $1.10/M input and $4.40/M output. Pixtral Large costs $2.00/M input and $6.00/M output via Mistral AI.
Rank both on the LLM leaderboard, SWE-bench, and Humanity's Last Exam.
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