GPT-4o vs Mistral Large 2407 vs Palmyra X4

GPT-4o is the better all-round choice, scoring 35/100 against Mistral Large 2407 (28) and Palmyra X4 (25). It leads on inputs & features. Mistral Large 2407 wins on price. 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.

Mistral Large 2407 is cheaper at $2.00 input / $6.00 output per million tokens (median across 5 API providers). GPT-4o costs $2.50 input / $10.00 output per million tokens (official OpenAI API price); Palmyra X4 costs $2.50 input / $10.00 output per million tokens (median across 2 API providers). At a typical mix of three input tokens to one output token, that is $3.00 per million tokens for Mistral Large 2407 versus $4.38 for GPT-4o (1.5× as much) and $4.38 for Palmyra X4 (1.5× as much).

There is no independent benchmark that covers all three models yet. GPT-4o has an ECI of 129.0, Mistral Large 2407 has an ECI of 127.6 and Palmyra X4 has not been scored yet.

There are no published SWE-bench Verified results for GPT-4o, Mistral Large 2407 and Palmyra X4 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.

Mistral Large 2407 has the largest context window at 131,072 tokens, against 128,000 for GPT-4o and 128,000 for Palmyra X4. Maximum output per response: GPT-4o up to 16,384, Mistral Large 2407 up to 104,857, Palmyra X4 up to 4,096 tokens.

GPT-4o accepts text, images and PDFs; Mistral Large 2407 accepts text and PDFs; Palmyra X4 accepts text. GPT-4o handles the widest range of inputs.

Mistral Large 2407 publishes its weights and can be self-hosted; GPT-4o and Palmyra X4 is proprietary.

Palmyra X4 is the newest, released Oct 9, 2024. Mistral Large 2407 came out Jul 24, 2024; GPT-4o came out May 13, 2024. Knowledge cutoff: GPT-4o Sep 2023, Mistral Large 2407 Mar 31, 2024.

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 Nov 2, 2026.