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Claude 3.5 Sonnet vs Mixtral 8x22B

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Claude 3.5 Sonnet and Mixtral 8x22B.

Anthropic

Claude 3.5 Sonnet

Claude 3.5 Sonnet was Anthropic's breakout model of 2024, widely regarded as one of the most capable commercial LLMs of its generation. It earned widespread developer praise for its exceptional coding ability, nuanced long-form writing, and reliable complex reasoning across a 200,000-token context window. Claude 3.5 Sonnet introduced computer-use capabilities, enabling it to interact with desktop environments, web browsers, and software tools autonomously. Available via API at $3/MTok for input, it continues to be a popular choice for developers who want a well-rounded, safety-aligned model with strong benchmark performance for coding, analysis, and content generation tasks.

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Mistral

Mixtral 8x22B

Mixtral 8x22B is Mistral AI's open-weight Mixture-of-Experts model, activating only 39B of its 141B total parameters per token to deliver frontier-level performance at inference costs comparable to a much smaller dense model. Released under the Apache 2.0 license, Mixtral 8x22B is one of the most capable fully open-weight models available, with strong multilingual performance, robust coding ability, and efficient fine-tuning via LoRA. It is widely deployed across self-hosted infrastructure, including Ollama, vLLM, and Hugging Face TGI.

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Technical Specifications

SpecificationClaude 3.5 SonnetMixtral 8x22B
ProviderAnthropicMistral
Context Window200,000 tokens65,536 tokens
Agent SuitabilityN/A87/100
Time to First Token (TTFT)N/A320 ms
Deployment ModelN/Aself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-06-212024-12-11

API Pricing Comparison

Input Price per Million Tokens

Claude 3.5 Sonnet

$3.00

Mixtral 8x22B

$0.50

Output Price per Million Tokens

Claude 3.5 Sonnet

$15.00

Mixtral 8x22B

$1.00

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
8870.0%vsN/A
Claude 3.5 Sonnet
Mixtral 8x22B
HumanEvalPython coding & logic synthesis
9200.0%vsN/A
Claude 3.5 Sonnet
Mixtral 8x22B
MATHComplex mathematical problem solving
7110.0%vsN/A
Claude 3.5 Sonnet
Mixtral 8x22B
GPQAGraduate-level expert reasoning
5940.0%vsN/A
Claude 3.5 Sonnet
Mixtral 8x22B
HellaSwagCommonsense reasoning and inference
9540.0%vsN/A
Claude 3.5 Sonnet
Mixtral 8x22B
MT-BenchMulti-turn conversation flow quality
935.0%vsN/A
Claude 3.5 Sonnet
Mixtral 8x22B

Claude 3.5 Sonnet Quirks & Gotchas

No developer gotchas reported.

Mixtral 8x22B Quirks & Gotchas

  • โ–ธMoE architecture โ€” efficient inference for its capability tier
  • โ–ธRequires ~90GB VRAM at FP16 โ€” 4-bit quantization recommended for single-GPU deployment