Llama-3.1-8B-Instruct vs Ministral 8B Instruct vs Mistral Nemo

It is close. Our weighted score puts them within 1 points (Mistral Nemo 43/100, Ministral 8B Instruct 42/100, Llama-3.1-8B-Instruct 42/100), so choose by what matters most for your work: Mistral Nemo for raw capability, Ministral 8B Instruct on price and Ministral 8B Instruct for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%. Capability uses the average of shared benchmarks (GPQA Diamond), because Ministral 8B Instruct has no Capabilities Index score yet.

Ministral 8B Instruct is cheaper at $0.15 input / $0.15 output per million tokens (median across 1 API provider). Mistral Nemo costs $0.15 input / $0.15 output per million tokens (official Mistral API price); Llama-3.1-8B-Instruct costs $0.152 input / $0.167 output per million tokens (median across 9 API providers). At a typical mix of three input tokens to one output token, that is $0.15 per million tokens for Ministral 8B Instruct versus $0.15 for Mistral Nemo (1× as much) and $0.156 for Llama-3.1-8B-Instruct (1× as much).

Not every model here has a Capabilities Index score, so we compare the average of shared benchmarks (GPQA Diamond): Mistral Nemo 29.9%, Ministral 8B Instruct 27.2% and Llama-3.1-8B-Instruct 27.0%. On individual benchmarks: GPQA Diamond — Mistral Nemo 29.9%, Ministral 8B Instruct 27.2%, Llama-3.1-8B-Instruct 27.0%.

There are no published SWE-bench Verified results for Llama-3.1-8B-Instruct, Ministral 8B Instruct and Mistral Nemo yet, so there is no like-for-like coding score. On overall capability, Mistral Nemo leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.

Ministral 8B Instruct has the largest context window at 131,072 tokens, against 128,000 for Llama-3.1-8B-Instruct and 128,000 for Mistral Nemo. Maximum output per response: Llama-3.1-8B-Instruct up to 4,096, Ministral 8B Instruct up to 8,192, Mistral Nemo up to 128,000 tokens.

Llama-3.1-8B-Instruct accepts text; Ministral 8B Instruct accepts text; Mistral Nemo accepts text. They handle the same number of input types.

Yes, all three publish their weights (Mistral Research License), so you can self-host them.

Ministral 8B Instruct is the newest, released Oct 16, 2024. Llama-3.1-8B-Instruct came out Jul 23, 2024; Mistral Nemo came out Jul 1, 2024. Knowledge cutoff: Llama-3.1-8B-Instruct Dec 2023, Mistral Nemo Jul 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.