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

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 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.

Mistral Nemo is cheaper at $0.15 input / $0.15 output per million tokens (official Mistral API price). Ministral 8B Instruct costs $0.15 input / $0.15 output per million tokens (median across 1 API provider); 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 Mistral Nemo versus $0.15 for Ministral 8B Instruct (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 Mistral Nemo, Ministral 8B Instruct and Llama-3.1-8B-Instruct 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 Mistral Nemo and 128,000 for Llama-3.1-8B-Instruct. Maximum output per response: Mistral Nemo up to 128,000, Ministral 8B Instruct up to 8,192, Llama-3.1-8B-Instruct up to 4,096 tokens.

Mistral Nemo accepts text; Ministral 8B Instruct accepts text; Llama-3.1-8B-Instruct 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: Mistral Nemo Jul 2024, Llama-3.1-8B-Instruct Dec 2023.

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.