Claude Fable 5.2 vs Mistral Large 4

Pick up to 3 models · pricing, context and capabilities · simulate your product cost

Data updated on November 14, 2026· 230 models

AnthropicFable 5.2

Claude Fable 5.2 is Anthropic's most capable model for the most demanding technical work, with gains over Fable 5.1 in coding, reasoning, and vision.

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Reasoning estimated
Speed estimated
Input
Output
Context
1 M tokens
Max output
128 K
Input, $ per 1M tokens
$8.00
Output, $ per 1M tokens
$40.00
Cache read, $ per 1M
$0.200
Batch (input / output)
$4.00 / $20.00
Tool calling
Yes
Released
▲11/09/2026
Knowledge cutoff
2026-06
API id
anthropic/claude-fable-5.2
MistralLarge 4

Mistral Large 4 is a frontier multimodal (text and image input) model from Mistral AI built for reasoning, coding, and agentic workloads.

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Reasoning estimated
Speed estimated
Input
Output
Context
▲1 M tokens
Max output
▲262 K
Input, $ per 1M tokens
▲$0.700
Output, $ per 1M tokens
▲$2.10
Cache read, $ per 1M
$0.070
Batch (input / output)
—
Tool calling
Yes
Released
10/06/2026
Knowledge cutoff
—
API id
mistralai/mistral-large-4-0
Third model (optional)
text image audio video PDF / file reasoning (1 to 5, estimated by family) speed (1 to 4, estimated by family)▲ best value among the selected

Which is the better API choice: Claude Fable 5.2 vs Mistral Large 4?

  • Mistral Large 4: cheapest input (91% less than Claude Fable 5.2)
  • Mistral Large 4: cheapest output
  • Mistral Large 4: largest context (1 M)
  • Claude Fable 5.2: the newest (11/09/2026)

Mistral Large 4 costs 91% less on input and 95% less on output than Claude Fable 5.2 ($0.700 / $2.10 versus $8.00 / $40.00 per million tokens). Mistral Large 4 accepts more context (1 M). Claude Fable 5.2 offers a batch tier at half price for jobs that do not need an immediate answer.

What would your product cost?

Estimate the monthly cost with your app's real volume. List prices, no cache or batch discounts.

Claude Fable 5.2
$280.00/mo
Mistral Large 4
$18.90/mo

With Mistral Large 4 you save $261.10 a month versus Claude Fable 5.2 (93% less).

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Paste your prompt: tokens and cost per model

Rough estimate (about 4 characters per token). Nothing is sent to any server.

76tokens approx.287 characters

Cost of sending it 1,000 times (input only)

  1. 1Claude Haiku 5.5 Anthropic$0.008
  2. 2Mistral Large 4 Mistral$0.053
  3. 3Claude Sonnet 5.5 Anthropic$0.152
  4. 4Claude Sonnet 5 Anthropic$0.152
  5. 5Claude Opus 5.5 Anthropic$0.304
  6. 6Claude Opus 5 Anthropic$0.380
  7. 7Claude Fable 5.2 Anthropic$0.608
  8. 8Claude Fable 5.1 Anthropic$0.760

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Frequently asked questions

Which is the better API choice: Claude Fable 5.2 vs Mistral Large 4?

Mistral Large 4 costs 91% less on input and 95% less on output than Claude Fable 5.2 ($0.700 / $2.10 versus $8.00 / $40.00 per million tokens). Mistral Large 4 accepts more context (1 M). Claude Fable 5.2 offers a batch tier at half price for jobs that do not need an immediate answer.

Which is cheaper: Claude Fable 5.2 and Mistral Large 4?

Mistral Large 4 is cheaper: $0.700 per million input tokens and $2.10 per million output tokens, versus $8.00 / $40.00 for Claude Fable 5.2.

Which has more context: Claude Fable 5.2 and Mistral Large 4?

Mistral Large 4 accepts 1 M tokens of context; Claude Fable 5.2 accepts 1 M.

Which is newer: Claude Fable 5.2 and Mistral Large 4?

Claude Fable 5.2 was released on 11/09/2026; Mistral Large 4 on 10/06/2026.

What would 10,000 requests a month cost with Claude Fable 5.2 and Mistral Large 4?

With 1,500 input and 400 output tokens per request: Claude Fable 5.2: $280.00; Mistral Large 4: $18.90 a month, at list price.

Where do the prices come from and how often are they updated?

From the public catalogs of OpenRouter, models.dev and LiteLLM, which publish each provider's list prices. They sync once a day and the last update date is shown above the comparison.

What does price per million tokens mean?

It is what the provider charges per million tokens you send (input) or the model generates (output). A token is roughly 4 characters. Output almost always costs more than input.

Sources: OpenRouter, models.dev and LiteLLM. Prices in USD per million tokens, list price, no volume discounts. Prompt tokens are an estimate; each provider's tokenizer may differ.