NewPoint any agent at UberLLM — one key, every model, list price or less.
UberLLM

Mistral Large vs GPT-5.3 Codex

mistralai/mistral-large · openai/gpt-5.3-codex

As of November 2, 2026, Mistral Large is the cheaper API on UberLLM: $0.0928 per million input tokens and $0.2784 per million output, versus $0.0939 / $0.7509 for GPT-5.3 Codex, about 60% less when output is 3 tokens for every input token. These are the best prices on the market right now. Both work with one OpenAI-compatible key and UberLLM adds no fee. Choose Mistral Large to cut cost; choose GPT-5.3 Codex when context size wins. GPT-5.3 Codex carries the larger context window (400,000 vs 262,144 tokens), which can matter for long-document work.

Mistral Large vs GPT-5.3 Codex, side by side

SpecMistral LargeGPT-5.3 Codex
Price · input / 1M$0.0928$0.0939
Price · output / 1M$0.2784$0.7509
Context length262,144400,000
Max output tokens32,768128,000
Input modalitiestexttext, image
Output modalitiestexttext
Tools / functionsYesYes
Vision (image input)—Yes
Reasoning—Yes
% off list95.4% off94.6% off

Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 2, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?

Mistral Large vs GPT-5.3 Codex — FAQ

Is Mistral Large or GPT-5.3 Codex cheaper?

Mistral Large is cheaper on a blended token mix, by about 60%. A request costs what its provider charged, UberLLM adds no fee, and every request is listed with its cost in Activity.

What's the price difference between Mistral Large and GPT-5.3 Codex?

Mistral Large: $0.0928 in / $0.2784 out per 1M tokens. GPT-5.3 Codex: $0.0939 in / $0.7509 out per 1M tokens. That's roughly a 60% blended difference. Prices are live; UberLLM adds no fee.

Can I use both Mistral Large and GPT-5.3 Codex with one API?

Yes. Both are served through a single OpenAI-compatible endpoint — set the base URL to https://api.uberllm.dev/v1 and your UberLLM key, then switch between them by changing the model id. Anthropic SDKs work via https://api.uberllm.dev/v1/messages.

More comparisons