WizardLM 2 8x22B vs Mistral Large vs Llama-3.1-70B-Instruct

It is close. Our weighted score puts them within a point (Mistral Large 42/100, Llama-3.1-70B-Instruct 42/100, WizardLM 2 8x22B 38/100), so choose by what matters most for your work: Llama-3.1-70B-Instruct for raw capability and WizardLM 2 8x22B on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%. Capability uses the average of shared benchmarks (GPQA Diamond), because WizardLM 2 8x22B has no Capabilities Index score yet.

WizardLM 2 8x22B is cheaper at $0.493 input / $0.493 output per million tokens (median across 3 API providers). Llama-3.1-70B-Instruct costs $0.72 input / $0.72 output per million tokens (median across 8 API providers); Mistral Large costs $0.50 input / $1.50 output per million tokens (official Mistral API price). At a typical mix of three input tokens to one output token, that is $0.493 per million tokens for WizardLM 2 8x22B versus $0.72 for Llama-3.1-70B-Instruct (1.5× as much) and $0.75 for Mistral Large (1.5× as much).

Not every model here has a Capabilities Index score, so we compare the average of shared benchmarks (GPQA Diamond): Llama-3.1-70B-Instruct 44.2%, WizardLM 2 8x22B 43.4% and Mistral Large 38.8%. On individual benchmarks: GPQA Diamond — Llama-3.1-70B-Instruct 44.2%, WizardLM 2 8x22B 43.4%, Mistral Large 38.8%.

There are no published SWE-bench Verified results for WizardLM 2 8x22B, Mistral Large and Llama-3.1-70B-Instruct yet, so there is no like-for-like coding score. On overall capability, Llama-3.1-70B-Instruct leads, which tends to carry over to coding, but test on your own codebase. Note that WizardLM 2 8x22B does not support tool calling, which most coding agents need.

Mistral Large and Llama-3.1-70B-Instruct have the largest context windows (128,000 and 128,000 tokens), against 65,536 for WizardLM 2 8x22B. Maximum output per response: WizardLM 2 8x22B up to 8,000, Mistral Large up to 102,400, Llama-3.1-70B-Instruct up to 4,096 tokens.

WizardLM 2 8x22B accepts text; Mistral Large accepts text and PDFs; Llama-3.1-70B-Instruct accepts text. Mistral Large handles the widest range of inputs.

WizardLM 2 8x22B and Llama-3.1-70B-Instruct publishes its weights (Apache-2.0) and can be self-hosted; Mistral Large is proprietary.

Llama-3.1-70B-Instruct is the newest, released Jul 23, 2024. WizardLM 2 8x22B came out Apr 15, 2024; Mistral Large came out Feb 26, 2024. Knowledge cutoff: Mistral Large Nov 30, 2024, Llama-3.1-70B-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 Nov 2, 2026.