Mistral Large vs Mistral Large 2.1 vs Gemma 2 27B

Mistral Large is the better all-round choice, scoring 44/100 against Mistral Large 2.1 (38) and Gemma 2 27B (35). It leads on inputs & features. Mistral Large 2.1 wins on capability. Gemma 2 27B wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Gemma 2 27B is cheaper at $0.65 input / $0.65 output per million tokens (median across 3 API providers). Mistral Large costs $0.50 input / $1.50 output per million tokens (official Mistral API price); Mistral Large 2.1 costs $2.00 input / $6.00 output per million tokens (median across 2 API providers). At a typical mix of three input tokens to one output token, that is $0.65 per million tokens for Gemma 2 27B versus $0.75 for Mistral Large (1.2× as much) and $3.00 for Mistral Large 2.1 (4.6× as much).

Mistral Large 2.1 scores higher on the Capabilities Index (ECI): Mistral Large 2.1 128.6 (#142 of 165), Gemma 2 27B 122.1 (#152 of 165) and Mistral Large 122.0 (#153 of 165). Their confidence ranges do not overlap (124.3–130.7 vs 115.8–124.1), so the gap is a real one. On individual benchmarks: GPQA Diamond — Mistral Large 2.1 51.3%, Mistral Large 38.8%, Gemma 2 27B 36.5%; OTIS Mock AIME 2024–2025 — Mistral Large 2.1 7.8%, Mistral Large 1.9%, Gemma 2 27B 1.4%.

There are no published SWE-bench Verified results for Mistral Large, Mistral Large 2.1 and Gemma 2 27B yet, so there is no like-for-like coding score. On overall capability, Mistral Large 2.1 leads, which tends to carry over to coding, but test on your own codebase. Note that Gemma 2 27B does not support tool calling, which most coding agents need.

Mistral Large 2.1 has the largest context window at 131,072 tokens, against 128,000 for Mistral Large and 8,192 for Gemma 2 27B. Maximum output per response: Mistral Large up to 102,400, Mistral Large 2.1 up to 16,384, Gemma 2 27B up to 2,048 tokens.

Mistral Large accepts text and PDFs; Mistral Large 2.1 accepts text; Gemma 2 27B accepts text. Mistral Large handles the widest range of inputs.

Mistral Large 2.1 and Gemma 2 27B publishes its weights and can be self-hosted; Mistral Large is proprietary.

Mistral Large 2.1 is the newest, released Nov 18, 2024. Gemma 2 27B came out Jul 13, 2024; Mistral Large came out Feb 26, 2024. Knowledge cutoff: Mistral Large Nov 30, 2024, Mistral Large 2.1 Nov 2024, Gemma 2 27B Jun 30, 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.