Compare · ModelsLive · 2 picked · head to head
Claude 2.1 vs Mixtral 8x22B Instruct
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
Mixtral 8x22B Instruct wins on 2/3 benchmarks
Mixtral 8x22B Instruct wins 2 of 3 shared benchmarks. Leads in knowledge.
Category leads
knowledge·Mixtral 8x22B Instructcoding·Claude 2.1
Hype vs Reality
Attention vs performance
Claude 2.1
#213 by perf·no signal
Mixtral 8x22B Instruct
#208 by perf·no signal
Best value
Mixtral 8x22B Instruct
Claude 2.1
—
no price
Mixtral 8x22B Instruct
5.9 pts/$
$4.00/M
Vendor risk
Who is behind the model
Anthropic
$380.0B·Tier 1
Mistral AI
$14.0B·Tier 1
Head to head
3 benchmarks · 2 models
Claude 2.1Mixtral 8x22B Instruct
GPQA diamond
Mixtral 8x22B Instruct leads by +1.5
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
Claude 2.1
10.6
Mixtral 8x22B Instruct
12.1
MMLU
Mixtral 8x22B Instruct leads by +5.7
Massive Multitask Language Understanding · 57 subjects spanning STEM, humanities, social sciences, and more. The standard benchmark for broad knowledge.
Claude 2.1
64.7
Mixtral 8x22B Instruct
70.4
WeirdML
Claude 2.1 leads by +3.9
WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns.
Claude 2.1
7.1
Mixtral 8x22B Instruct
3.2
Full benchmark table
| Benchmark | Claude 2.1 | Mixtral 8x22B Instruct |
|---|---|---|
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 10.6 | 12.1 |
MMLU Massive Multitask Language Understanding · 57 subjects spanning STEM, humanities, social sciences, and more. The standard benchmark for broad knowledge. | 64.7 | 70.4 |
WeirdML WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns. | 7.1 | 3.2 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| — | — | — | — | |
| $2.00 | $6.00 | 66K tokens (~33 books) | $30.00 |