Anthropic: Claude Haiku 4.5 vs Mistral: Mistral Medium 3.5 (batch)

Neither wins outright: Anthropic: Claude Haiku 4.5 is the pick when you need built-in web search, Mistral: Mistral Medium 3.5 (batch) when cost matters at scale.

Key numbers

SpecAnthropic: Claude Haiku 4.5Mistral: Mistral Medium 3.5 (batch)
ProviderAnthropicMistral AI
Input price (per 1M tokens)$1.00$0.75
Output price (per 1M tokens)$5.00$3.75
Blended price (3:1 input/output)$2.00$1.50
Cheaper than … of all models we track25%31%
Context window200K tokens (~300 pages)262K tokens (~393 pages)
Larger context than … of all models38%48%
Max output per response64K tokens (~48,000 words)210K tokens (~157,300 words)
Input typestext, image, filetext, image, file
Output typestexttext
Free variantNoNo
Listed since2025-10-152026-04-30
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What it costs for real workloads

Monthly cost at list price for five common workloads. Token counts per unit are stated so you can scale them to your own traffic. A workload that does not fit a model's context window is marked rather than priced.

Workload (per month)Anthropic: Claude Haiku 4.5Mistral: Mistral Medium 3.5 (batch)Difference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$175$131Mistral: Mistral Medium 3.5 (batch) saves $43.75
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$170$127Mistral: Mistral Medium 3.5 (batch) saves $42.50
Coding / tool-using agent
2,000 tasks — each a multi-step task with tool calls and file context (60,000 in / 6,000 out tokens)
$180$135Mistral: Mistral Medium 3.5 (batch) saves $45.00
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$110$82.50Mistral: Mistral Medium 3.5 (batch) saves $27.50
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$55.00$41.25Mistral: Mistral Medium 3.5 (batch) saves $13.75

Capabilities side by side

CapabilityAnthropic: Claude Haiku 4.5Mistral: Mistral Medium 3.5 (batch)What it lets you do
Tool / function calling✓ Yes✓ Yescall your APIs and run agent loops
Structured output (JSON schema)✓ Yes✓ Yesreturn JSON that validates against your schema
Reasoning / thinking mode✓ Yes✓ Yesspend extra tokens thinking before answering hard problems
Image input✓ Yes✓ Yesread screenshots, charts and scanned pages
Audio input——take speech or audio directly
File / PDF input✓ Yes✓ Yesaccept documents without your own parsing step
Image output——generate images, not just text
Built-in web search✓ Yes—answer from live web results
Seed (reproducible sampling)—✓ Yesrepeat a generation for tests and evals
Log-probabilities——read token confidence for classification and scoring

From each model's published parameters and input/output types. “—” means not advertised, not proven absent.

Price history

Which should you choose?

Choose Anthropic: Claude Haiku 4.5 if…

  • you need built-in web search — to answer from live web results; Mistral: Mistral Medium 3.5 (batch) does not advertise it

Choose Mistral: Mistral Medium 3.5 (batch) if…

  • cost matters at scale — it is 25% cheaper on a typical 3:1 input/output mix ($131 vs $175 a month for 50,000 support chats)
  • you need seed (reproducible sampling) — to repeat a generation for tests and evals; Anthropic: Claude Haiku 4.5 does not advertise it
  • you generate long outputs in one go — up to 210K tokens (about 157,300 words) per response
  • you want the newer model — released 2026-04-30, 7 months after the other

Frequently asked questions

Is Anthropic: Claude Haiku 4.5 better than Mistral: Mistral Medium 3.5 (batch)?

Neither wins outright: Anthropic: Claude Haiku 4.5 is the pick when you need built-in web search, Mistral: Mistral Medium 3.5 (batch) when cost matters at scale. In short: Anthropic: Claude Haiku 4.5 when you need built-in web search; Mistral: Mistral Medium 3.5 (batch) when cost matters at scale, you need seed (reproducible sampling), you generate long outputs in one go, you want the newer model.

Which is cheaper, Anthropic: Claude Haiku 4.5 or Mistral: Mistral Medium 3.5 (batch)?

Mistral: Mistral Medium 3.5 (batch) is cheaper: $1.50 vs $2.00 per 1M tokens at a typical 3:1 input/output mix, 25% less. For 50,000 support conversations a month that is $131 against $175.

How much do Anthropic: Claude Haiku 4.5 and Mistral: Mistral Medium 3.5 (batch) cost per million tokens?

Anthropic: Claude Haiku 4.5 costs $1.00 per 1M input tokens and $5.00 per 1M output tokens; Mistral: Mistral Medium 3.5 (batch) costs $0.75 input and $3.75 output. Output tokens are billed separately, so long answers shift the gap.

Which has the bigger context window, Anthropic: Claude Haiku 4.5 or Mistral: Mistral Medium 3.5 (batch)?

Mistral: Mistral Medium 3.5 (batch): 262K tokens, about 393 pages, against 200K (about 300 pages) for Anthropic: Claude Haiku 4.5.

Do Anthropic: Claude Haiku 4.5 and Mistral: Mistral Medium 3.5 (batch) support function calling and JSON output?

Tool calling — Anthropic: Claude Haiku 4.5: yes, Mistral: Mistral Medium 3.5 (batch): yes. JSON-schema structured output — Anthropic: Claude Haiku 4.5: yes, Mistral: Mistral Medium 3.5 (batch): yes.

Can Anthropic: Claude Haiku 4.5 or Mistral: Mistral Medium 3.5 (batch) read images?

Yes, both accept image input.

Is Anthropic: Claude Haiku 4.5 or Mistral: Mistral Medium 3.5 (batch) free to use?

No free variant is listed for either; both are pay-per-token.

What is the maximum output length of Anthropic: Claude Haiku 4.5 and Mistral: Mistral Medium 3.5 (batch)?

Anthropic: Claude Haiku 4.5 can write up to 64K tokens (about 48,000 words) per response; Mistral: Mistral Medium 3.5 (batch) up to 210K (about 157,300 words).

When were Anthropic: Claude Haiku 4.5 and Mistral: Mistral Medium 3.5 (batch) released?

Anthropic: Claude Haiku 4.5 was listed on 2025-10-15; Mistral: Mistral Medium 3.5 (batch) on 2026-04-30.

About the two models

Compare Anthropic: Claude Haiku 4.5 with other models

Compare Mistral: Mistral Medium 3.5 (batch) with other models

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