Anthropic vs Mistral: Token Pricing, Speed & Intelligence

Full comparison of Anthropic and Mistral — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Updated July 2026.

Anthropic

Claude — safety-focused frontier AI with exceptional coding ability

Anthropic builds the Claude model family, known for long context windows (up to 200K tokens), strong coding performance, and a safety-first design philosophy. Claude 4 Opus and Sonnet lead on many coding and reasoning benchmarks. Prompt caching is available at significant discounts.

CodingReasoningLong-contextChatAgents

Proprietary models

Mistral

European frontier AI — Mistral Large, Codestral, and open models

Mistral AI is a Paris-based lab that trains both proprietary and open-weight models. Mistral Large competes with GPT-4 class models at lower prices, while Codestral is purpose-built for code generation with a 262K context window. Several Mistral models are open-weight and available for self-hosting.

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Proprietary modelsHosts open weights

Key metrics

Cheapest input ($/1M)

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Cheapest output ($/1M)

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Peak throughput

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Best latency (TTFT)

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Intelligence score

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Context window

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Live token pricing

Strengths & weaknesses

Anthropic

Top coding benchmark scores (Claude 4 Opus)

200K context window on all Claude models

Aggressive prompt caching — up to 90% discount

Strong instruction-following and safety alignment

Extended thinking / reasoning mode on Opus

No open-weight models — full vendor lock-in

Opus is the most expensive frontier model at $15/$75 per 1M tokens

No native image generation capability

Mistral

Several open-weight models available for self-hosting

Codestral purpose-built for code with 262K context

European data sovereignty — GDPR-native

Competitive pricing vs. GPT-4 class models

Mistral Small is one of the cheapest capable models at $0.10/1M

Intelligence scores trail OpenAI and Anthropic at frontier tier

Smaller ecosystem than OpenAI

No vision support on smaller models

Key differentiators

Anthropic

Claude 4 Opus scores highest on coding benchmarks among all frontier models, with a 200K context window and aggressive prompt caching.

Mistral

The only frontier lab offering open-weight models alongside proprietary ones — giving teams the flexibility to self-host or use the API.

Frequently asked questions

Anthropic FAQs

How much does the Anthropic Claude API cost?

Claude 4 Opus costs $15/1M input and $75/1M output tokens. Claude Sonnet 4.5 is $3/$15 per 1M tokens. Claude Haiku 3.5 is the budget option at $0.80/$4.00. Prompt caching reduces input costs by up to 90%.

What is the context window for Claude models?

All Claude models support a 200,000-token context window, making them ideal for processing long documents, codebases, or multi-turn conversations without truncation.

How does Anthropic prompt caching work?

Anthropic's prompt caching lets you mark portions of your prompt (system prompts, documents, tool definitions) to be cached server-side. Cached tokens are billed at 10% of the standard input price after the first write, making repeated long-context calls dramatically cheaper.

Mistral FAQs

How much does the Mistral API cost?

Mistral Large costs $2.00/1M input and $6.00/1M output tokens. Mistral Small is $0.10/$0.30 per 1M tokens — one of the cheapest capable models available. Codestral for code generation is priced separately.

Are Mistral models open-weight?

Some are. Mistral 7B, Mixtral 8x7B, and Mixtral 8x22B are open-weight and available on Hugging Face for self-hosting. Mistral Large and Codestral are proprietary and only available via the API.

What is Codestral?

Codestral is Mistral's code-specialised model with a 262K context window. It supports 80+ programming languages and is optimised for code completion, generation, and explanation tasks.

Provider resources

Anthropic

Provider page Website Pricing Docs

Mistral

Provider page Website Pricing Docs

Anthropic — Claude — safety-focused frontier AI with exceptional coding ability

Claude 4 Opus scores highest on coding benchmarks among all frontier models, with a 200K context window and aggressive prompt caching.

Mistral — European frontier AI — Mistral Large, Codestral, and open models

The only frontier lab offering open-weight models alongside proprietary ones — giving teams the flexibility to self-host or use the API.

Key strengths compared

Anthropic

▸Top coding benchmark scores (Claude 4 Opus)
▸200K context window on all Claude models
▸Aggressive prompt caching — up to 90% discount

Mistral

▸Several open-weight models available for self-hosting
▸Codestral purpose-built for code with 262K context
▸European data sovereignty — GDPR-native

Provider category context

Anthropic is a frontier lab, founded in 2021. Mistral is a frontier lab, founded in 2023. Both are frontier lab providers — the comparison is primarily about pricing, model selection, and feature differentiation within the same tier.

How to choose between them

Both Anthropic and Mistral are frontier labs with proprietary models. Choose based on benchmark performance for your specific task: Anthropic leads on top coding benchmark scores (claude 4 opus), while Mistral leads on several open-weight models available for self-hosting. For cost-sensitive workloads, compare the cheapest model tier from each provider in the pricing table above — the gap between efficient-tier models is often larger than between flagship models.