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Claude Haiku 3.5 vs Mistral Small 4: API Cost Comparison

Compare the API pricing, context windows, features, and real-world cost projections for Claude Haiku 3.5 (Anthropic) and Mistral Small 4 (Mistral AI). Use the interactive calculator below to compute your exact monthly cost based on your token usage and request volume.

Prices verified Apr 30, 2026

Interactive Cost Calculator

AnthropicClaude Haiku 3.5Mistral AIMistral Small 4

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 Small 4 at $4.50/month.

Cheapest: Mistral Small 4 at $4.50/mo — save 83.9% vs Claude Haiku 3.5
Alert
BestMistral Small 4
Mistral AI$4.50$0.000450$1.50$3.0083.9%Alerts coming soon
Claude Haiku 3.5
Anthropic$28.00$0.002800$8.00$20.00Alerts 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 3.5Mistral Small 4Cheaper
Input (standard)$0.80/M$0.15/MMistral Small 4
Output$4.00/M$0.60/MMistral Small 4
Cached input$0.08/MN/A
Batch input$0.40/MN/A
Batch output$2.00/MN/A

Prices last verified: 2026-03-08 – 2026-04-30

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 3.5MonthlyMistral Small 4MonthlyClaude Haiku 3.5Per requestMistral Small 4Per request
1K requests/mo$2.80$0.45$0.002800$0.000450
10K requests/mo$28.00$4.50$0.002800$0.000450
100K requests/mo$280.00$45.00$0.002800$0.000450
1M requests/mo$2,800.00$450.00$0.002800$0.000450

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 3.5

by Anthropic

  • Customer support
  • Text classification
  • Data extraction

Input / 1M tokens

$0.80/M

Output / 1M tokens

$4.00/M

Context window

200,000

Tier

budget

When to Choose Mistral Small 4

by Mistral AI

  • General chatbot

Input / 1M tokens

$0.15/M

Output / 1M tokens

$0.60/M

Context window

262,144

Tier

budget

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 3.5Mistral Small 4
Context window200,000 tokens262,144 tokens
Max output tokens8,192 tokens4,096 tokens
Performance tierBudgetBudget
Vision / image inputYesNo
Function callingYesNo
JSON modeYesNo
Prompt cachingYesNo
Batch API (50% discount)YesNo
Extended reasoningNoNo
Fine-tuningNoNo
Rate limit (req/min)4,000Not published

Claude Haiku 3.5 notes

Best Anthropic model for cost-sensitive applications. Significantly faster than Sonnet.

Frequently Asked Questions

Is Claude Haiku 3.5 cheaper than Mistral Small 4?

At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), Mistral Small 4 costs $45.00/month versus $280.00/month for Claude Haiku 3.5 — a 84% 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 3.5 or Mistral Small 4?

Mistral Small 4 has a larger context window at 262,144 tokens, compared to 200,000 tokens for Claude Haiku 3.5. A larger context window is important for processing long documents, multi-turn conversations, or large codebases without truncation.

Do Claude Haiku 3.5 and Mistral Small 4 support the Batch API?

Claude Haiku 3.5 supports the Batch API (50% discount for async processing), while Mistral Small 4 does not. If your workload tolerates up to 24-hour latency, routing to Claude Haiku 3.5 with batch pricing could significantly cut costs versus Mistral Small 4's standard rate.

Which model offers better prompt caching?

Claude Haiku 3.5 supports prompt caching at $0.08/M for cached input, while Mistral Small 4 does not offer prompt caching. For RAG applications or chatbots with large, repeated context, Claude Haiku 3.5's caching capability can substantially reduce effective costs.

What are the best use cases for Claude Haiku 3.5 vs Mistral Small 4?

Claude Haiku 3.5 is best suited for Customer support, Text classification, Data extraction, while Mistral Small 4 is optimized for General chatbot. 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 3.5 vs Mistral Small 4?

At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — Claude Haiku 3.5 costs $0.002800 per request and Mistral Small 4 costs $0.000450 per request. At 100,000 requests/month, that translates to $280.00 and $45.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.

Claude Haiku 3.5 vs Mistral Small 4: Summary

When comparing Claude Haiku 3.5 and Mistral Small 4 for API cost, the right choice depends on your workload's token profile, required features, and tolerance for latency. Mistral Small 4 offers lower total cost at standard usage volumes (1,000 input + 500 output tokens per request at 100,000 requests/month) at $45.00/month, compared to $280.00/month for Claude Haiku 3.5.

Both models are priced in USD per million tokens, the standard unit across all major AI API providers. Claude Haiku 3.5 charges $0.80/M for input tokens and $4.00/M for output tokens. Mistral Small 4 charges $0.15/M input and $0.60/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 3.5 but not Mistral Small 4. 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 Small 4 supports up to 262,144 tokens in a single request, versus 200,000 tokens for Claude Haiku 3.5. 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 3.5 or Mistral Small 4 is recommended.