Mistral Large 2.1 vs GPT-4o vs Qwen2.5 72B Instruct

GPT-4o is the better all-round choice, scoring 43/100 against Qwen2.5 72B Instruct (40) and Mistral Large 2.1 (38). It leads on inputs & features. Qwen2.5 72B Instruct wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Qwen2.5 72B Instruct is cheaper at $1.40 input / $5.60 output per million tokens (official Alibaba API price). Mistral Large 2.1 costs $2.00 input / $6.00 output per million tokens (official Mistral API price); GPT-4o costs $2.50 input / $10.00 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $2.45 per million tokens for Qwen2.5 72B Instruct versus $3.00 for Mistral Large 2.1 (1.2× as much) and $4.38 for GPT-4o (1.8× as much).

Qwen2.5 72B Instruct scores higher on the Capabilities Index (ECI): Qwen2.5 72B Instruct 129.0 (#128 of 148), GPT-4o 129.0 (#129 of 148) and Mistral Large 2.1 128.5 (#130 of 148). The confidence ranges of the top two overlap (123.8–130.7 vs 124.2–131.5), so treat the gap as small. On individual benchmarks: GPQA Diamond — Mistral Large 2.1 51.3%, Qwen2.5 72B Instruct 49.2%, GPT-4o 48.9%; OTIS Mock AIME 2024–2025 — Qwen2.5 72B Instruct 8.1%, Mistral Large 2.1 7.8%, GPT-4o 6.3%.

There are no published SWE-bench Verified results for Mistral Large 2.1, GPT-4o and Qwen2.5 72B Instruct yet, so there is no like-for-like coding score. On overall capability, Qwen2.5 72B Instruct leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.

Mistral Large 2.1 and Qwen2.5 72B Instruct have the largest context windows (131,072 and 131,072 tokens), against 128,000 for GPT-4o. Maximum output per response: Mistral Large 2.1 up to 16,384, GPT-4o up to 16,384, Qwen2.5 72B Instruct up to 8,192 tokens.

Mistral Large 2.1 accepts text; GPT-4o accepts text, images and PDFs; Qwen2.5 72B Instruct accepts text. GPT-4o handles the widest range of inputs.

Mistral Large 2.1 and Qwen2.5 72B Instruct publishes its weights and can be self-hosted; GPT-4o is proprietary.

Mistral Large 2.1 is the newest, released Nov 18, 2024. Qwen2.5 72B Instruct came out Sep 19, 2024; GPT-4o came out May 13, 2024. Knowledge cutoff: Mistral Large 2.1 Nov 2024, GPT-4o Sep 2023, Qwen2.5 72B Instruct Apr 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 Oct 4, 2026.