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Claude 3.5 Haiku vs Mistral Large 2407

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 Haiku and Mistral Large 2407.

Anthropic

Claude 3.5 Haiku

Claude 3.5 Haiku is the fast, cost-efficient member of the Claude 3.5 model family from Anthropic, built to deliver strong performance for coding, text processing, and multi-turn conversation at minimal inference cost. With a 200,000-token context window and pricing at $0.80/MTok for input, it is optimized for high-throughput, latency-sensitive production applications such as real-time chat interfaces, code completion tools, and classification systems. While smaller than its Sonnet and Opus siblings, Claude 3.5 Haiku retains Anthropic's strong alignment and safety properties, making it a reliable choice for consumer-facing AI features.

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Mistral

Mistral Large 2407

This is Mistral AI's flagship model, Mistral Large 2 (version mistral-large-2407). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. Read the launch announcement [here](https://mistral.ai/news/mistral-large-2407/)....

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Technical Specifications

SpecificationClaude 3.5 HaikuMistral Large 2407
ProviderAnthropicMistral
Context Window200,000 tokens131,072 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment ModelN/Aself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-11-042024-11-19

API Pricing Comparison

Input Price per Million Tokens

Claude 3.5 Haiku

$0.80

Mistral Large 2407

$2.00

Output Price per Million Tokens

Claude 3.5 Haiku

$4.00

Mistral Large 2407

$6.00

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
7520.0%vsN/A
Claude 3.5 Haiku
Mistral Large 2407
HumanEvalPython coding & logic synthesis
8810.0%vsN/A
Claude 3.5 Haiku
Mistral Large 2407
MATHComplex mathematical problem solving
5160.0%vsN/A
Claude 3.5 Haiku
Mistral Large 2407
GPQAGraduate-level expert reasoning
4150.0%vsN/A
Claude 3.5 Haiku
Mistral Large 2407
HellaSwagCommonsense reasoning and inference
8920.0%vsN/A
Claude 3.5 Haiku
Mistral Large 2407
MT-BenchMulti-turn conversation flow quality
850.0%vsN/A
Claude 3.5 Haiku
Mistral Large 2407

Claude 3.5 Haiku Quirks & Gotchas

No developer gotchas reported.

Mistral Large 2407 Quirks & Gotchas

No developer gotchas reported.