Mixtral-8x7B-Instruct-v0.1: benchmark scores, price and ranking

Mixtral-8x7B-Instruct-v0.1 from Mistral AI ranks #561 of 743 LLMs on the LLMs Tiger aggregate benchmark score (45.7), based on 1 benchmark results captured up to 2026-10-13.

Organisation: Mistral AI
Type: Open-weight / local model
Open weights: Yes
Released: 2023-12-11 (source: epoch)
Cheapest API price: $0.150 in / $0.150 out per million tokens (via anyscale, observed 2026-10-13T21:47Z)
Aggregate rank: #561 of 743 (score 45.7)

Across the 1 benchmark where at least ten models are scored, Mixtral-8x7B-Instruct-v0.1 is in the top 10% on 0 and in the top half on 0.

Its cheapest listed input price, $0.150 per million tokens, is lower than that of 72% of the 427 models with a listed price.

Mixtral-8x7B-Instruct-v0.1 benchmark results

Mixtral-8x7B-Instruct-v0.1 benchmark scores, ranked against all models measured on each benchmark
Benchmark	Score	Rank	Source	Captured
GPQA Diamond	30.6%	#250 of 275	Epoch AI Benchmarking Hub	2026-10-13

About Mixtral-8x7B-Instruct-v0.1

Mixtral-8x7B-Instruct-v0.1 is an open-weight model that can run on your own hardware from Mistral AI. It was released on 2023-12-11, according to Epoch AI. The cheapest API listing we track charges $0.150 per million input tokens and $0.150 per million output tokens, through anyscale. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.

Where Mixtral-8x7B-Instruct-v0.1 stands

On our aggregate score, Mixtral-8x7B-Instruct-v0.1 is #561 of 743 ranked models, in the lower half. Its score is 45.7; the scale is centred on 50, so it sits 4.3 points below the typical model. That beats 24% of the ranked field. Among the 44 ranked Mistral AI models it is #21. The next one up is open-mixtral-8x22b at 46.0. The next one down is open-mistral-nemo-2407 at 45.6.

Mixtral-8x7B-Instruct-v0.1, benchmark by benchmark

GPQA Diamond is a weak spot. Mixtral-8x7B-Instruct-v0.1 scores 30.6%, #250 of 275, behind 91% of the models measured. The leader, GPT-6 Astra (max), reaches 95.8%. It covers expert-level science questions. The board median is 71.7%, so Mixtral-8x7B-Instruct-v0.1 is 41.1 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

Price and value

The median input price across the 427 priced models is $0.500 per million tokens, so Mixtral-8x7B-Instruct-v0.1 costs less than the typical listing. Models that score within 1.5 points or better and cost less: Qwen2.5-Coder-7B-Instruct ($0.010, 49.5), DeepSeek V4.1 Flash (high) ($0.010, 48.9), Qwen2.5-Coder-3B-Instruct ($0.010, 46.5). Similar scores cost more on Llama 4 Maverick (FP8) ($0.188) and qwen3-30b-a3b-thinking-2507 ($0.200).

Release history

The Mistral AI model released before it was mistral-medium-2312 on 2023-12-11, which scores 46.7. The next one was open-mixtral-8x7b on 2023-12-11, at 43.2.

Reading these numbers

The 1 score on this page comes from 1 source: Epoch AI Benchmarking Hub (1). No official leaderboard supplied any of them, so treat them as third-party measurements. With 1 results the aggregate rank can move a lot when one new score arrives.

Models ranked nearby

#558 Claude 3 Opus (45.7)
#559 amazon.nova-lite-v1:0 (45.7)
#560 qwen1.5-32b-chat (45.7)
#562 EXAONE-3.5-2.4B-Instruct (45.7)
#563 qwen-plus-2025-01-25 (45.7)
#564 MiMo-V2-Flash (45.6)