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Claude Haiku 4.5 vs Mistral Large 3: API Cost Comparison

Compare the API pricing, context windows, features, and real-world cost projections for Claude Haiku 4.5 (Anthropic) and Mistral Large 3 (Mistral AI). Use the interactive calculator below to compute your exact monthly cost based on your token usage and request volume.

Prices verified Mar 24, 2026

Interactive Cost Calculator

AnthropicClaude Haiku 4.5Mistral AIMistral Large 3

Fills in typical token counts for a workload type

Tokens in each prompt sent to the model

Tokens generated in each response

Total API calls per month

Showing costs for 2 models. Cheapest: Mistral Large 3 at $12.50/month.

Cheapest: Mistral Large 3 at $12.50/mo — save 64.3% vs Claude Haiku 4.5
Alert
BestMistral Large 3
Mistral AI$12.50$0.001250$5.00$7.5064.3%Alerts coming soon
Claude Haiku 4.5
Anthropic$35.00$0.003500$10.00$25.00Alerts coming soon

Monthly Cost Comparison

Price Comparison at a Glance

All prices are in USD per 1 million tokens ($/M tokens). Lower is cheaper.

Pricing TypeClaude Haiku 4.5Mistral Large 3Cheaper
Input (standard)$1.00/M$0.50/MMistral Large 3
Output$5.00/M$1.50/MMistral Large 3
Cached input$0.10/MN/A
Batch input$0.50/MN/A
Batch output$2.50/MN/A

Prices last verified: 2026-03-08 – 2026-03-24

Cost Breakdown by Usage Volume

Estimated monthly costs at different request volumes, assuming 1,000 input tokens and 500 output tokens per request. Adjust in the calculator above for your specific use case.

VolumeClaude Haiku 4.5MonthlyMistral Large 3MonthlyClaude Haiku 4.5Per requestMistral Large 3Per request
1K requests/mo$3.50$1.25$0.003500$0.001250
10K requests/mo$35.00$12.50$0.003500$0.001250
100K requests/mo$350.00$125.00$0.003500$0.001250
1M requests/mo$3,500.00$1,250.00$0.003500$0.001250

Green values indicate the lower-cost option at each volume tier. Cost per request is calculated at 1,000 input + 500 output tokens using standard (non-batch, non-cached) pricing.

Price History

Input price per 1M tokens

When to Choose Claude Haiku 4.5

by Anthropic

  • Customer support
  • Text classification
  • Data extraction

Input / 1M tokens

$1.00/M

Output / 1M tokens

$5.00/M

Context window

200,000

Tier

budget

When to Choose Mistral Large 3

by Mistral AI

  • Code generation
  • Content & copywriting
  • RAG / Semantic search

Input / 1M tokens

$0.50/M

Output / 1M tokens

$1.50/M

Context window

262,144

Tier

premium

Key Differences Beyond Price

Cost is only one factor in choosing an AI model. Context window size, rate limits, supported features, and latency all affect whether a model fits your use case.

CapabilityClaude Haiku 4.5Mistral Large 3
Context window200,000 tokens262,144 tokens
Max output tokens64,000 tokens8,192 tokens
Performance tierBudgetPremium
Vision / image inputYesYes
Function callingYesYes
JSON modeYesYes
Prompt cachingYesNo
Batch API (50% discount)YesNo
Extended reasoningYesNo
Fine-tuningNoNo
Rate limit (req/min)4,000Not published

Claude Haiku 4.5 notes

Improved Haiku with better accuracy. Slightly more expensive than Haiku 3.5.

Mistral Large 3 notes

Major price reduction from original Mistral Large ($2/$6 -> $0.50/$1.50). Supports 80+ languages.

Frequently Asked Questions

Is Claude Haiku 4.5 cheaper than Mistral Large 3?

At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), Mistral Large 3 costs $125.00/month versus $350.00/month for Claude Haiku 4.5 — a 64% saving. Your actual savings will vary based on your token profile; output-heavy workloads amplify differences in output pricing.

Which model has a larger context window, Claude Haiku 4.5 or Mistral Large 3?

Mistral Large 3 has a larger context window at 262,144 tokens, compared to 200,000 tokens for Claude Haiku 4.5. A larger context window is important for processing long documents, multi-turn conversations, or large codebases without truncation.

Do Claude Haiku 4.5 and Mistral Large 3 support the Batch API?

Claude Haiku 4.5 supports the Batch API (50% discount for async processing), while Mistral Large 3 does not. If your workload tolerates up to 24-hour latency, routing to Claude Haiku 4.5 with batch pricing could significantly cut costs versus Mistral Large 3's standard rate.

Which model offers better prompt caching?

Claude Haiku 4.5 supports prompt caching at $0.10/M for cached input, while Mistral Large 3 does not offer prompt caching. For RAG applications or chatbots with large, repeated context, Claude Haiku 4.5's caching capability can substantially reduce effective costs.

What are the best use cases for Claude Haiku 4.5 vs Mistral Large 3?

Claude Haiku 4.5 is best suited for Customer support, Text classification, Data extraction, while Mistral Large 3 is optimized for Code generation, Content & copywriting, RAG / Semantic search. Choose based on which use case matches your primary workload — and validate with the cost calculator above to confirm the total monthly spend fits your budget.

What is the cost per request for Claude Haiku 4.5 vs Mistral Large 3?

At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — Claude Haiku 4.5 costs $0.003500 per request and Mistral Large 3 costs $0.001250 per request. At 100,000 requests/month, that translates to $350.00 and $125.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.

Claude Haiku 4.5 vs Mistral Large 3: Summary

When comparing Claude Haiku 4.5 and Mistral Large 3 for API cost, the right choice depends on your workload's token profile, required features, and tolerance for latency. Mistral Large 3 offers lower total cost at standard usage volumes (1,000 input + 500 output tokens per request at 100,000 requests/month) at $125.00/month, compared to $350.00/month for Claude Haiku 4.5.

Both models are priced in USD per million tokens, the standard unit across all major AI API providers. Claude Haiku 4.5 charges $1.00/M for input tokens and $5.00/M for output tokens. Mistral Large 3 charges $0.50/M input and $1.50/M output. If your workload is output-heavy (more tokens generated than consumed as input), the model with the lower output price compounds cost savings significantly at scale.

Prompt caching is supported by Claude Haiku 4.5 but not Mistral Large 3. For workloads with large, repeated system prompts or document context — such as RAG pipelines or multi-turn conversations with a fixed knowledge base — prompt caching can reduce effective input costs by 60–90%, which may change the cost ranking between these two models at your specific usage pattern.

Context window capacity differs between the two: Mistral Large 3 supports up to 262,144 tokens in a single request, versus 200,000 tokens for Claude Haiku 4.5. A larger context window is essential for document summarization, large codebase analysis, and multi-document retrieval-augmented generation (RAG) applications.

Use the interactive calculator at the top of this page to enter your actual token usage and monthly request volume for a precise cost comparison tailored to your workload. Adjust for batch API discounts and prompt caching to find the most cost-effective option for your specific deployment.

Explore other model comparisons from the same providers or performance tiers.

Related Provider Pages

View complete pricing tables and model lineups for the providers behind these models.

Relevant Use Cases

See cost recommendations for workloads where Claude Haiku 4.5 or Mistral Large 3 is recommended.