GPT-5.1 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

OpenAIGPT-5.1

GPT-5.1 is the latest frontier-grade model in the GPT-5 series, offering stronger general-purpose reasoning, improved instruction adherence, and a more natural conversational style compared to GPT-5.

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Reasoning estimated
Speed estimated
▲
Input
Output
Context
400 K tokens
Max output
128 K
Input, $ per 1M tokens
$1.25
Output, $ per 1M tokens
$10.00
Cache read, $ per 1M
$0.125
Batch (input / output)
$0.625 / $5.00
Tool calling
Yes
Released
11/13/2025
Knowledge cutoff
2024-09-30
API id
openai/gpt-5.1
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: GPT-5.1 vs Mistral Large 4?

  • Mistral Large 4: cheapest input (44% less than GPT-5.1)
  • Mistral Large 4: cheapest output
  • Mistral Large 4: largest context (1 M)
  • Mistral Large 4: the newest (10/06/2026)
  • Mistral Large 4: most reasoning (estimated)
  • GPT-5.1: the fastest (estimated)

Mistral Large 4 costs 44% less on input and 79% less on output than GPT-5.1 ($0.700 / $2.10 versus $1.25 / $10.00 per million tokens). Mistral Large 4 accepts more context (1 M). GPT-5.1 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.

GPT-5.1
$58.75/mo
Mistral Large 4
$18.90/mo

With Mistral Large 4 you save $39.85 a month versus GPT-5.1 (68% less).

The 6 cheapest for this scenario (chat, last 12 months)

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  3. 3Qwen3.7 Flash Qwen$0.97
  4. 4DeepSeek V4.1 Flash DeepSeek$1.57
  5. 5DeepSeek V4 Flash 0731 DeepSeek$1.85
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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. 3GPT-5.1 OpenAI$0.095
  4. 4Claude Sonnet 5.5 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: GPT-5.1 vs Mistral Large 4?

Mistral Large 4 costs 44% less on input and 79% less on output than GPT-5.1 ($0.700 / $2.10 versus $1.25 / $10.00 per million tokens). Mistral Large 4 accepts more context (1 M). GPT-5.1 offers a batch tier at half price for jobs that do not need an immediate answer.

Which is cheaper: GPT-5.1 and Mistral Large 4?

Mistral Large 4 is cheaper: $0.700 per million input tokens and $2.10 per million output tokens, versus $1.25 / $10.00 for GPT-5.1.

Which has more context: GPT-5.1 and Mistral Large 4?

Mistral Large 4 accepts 1 M tokens of context; GPT-5.1 accepts 400 K.

Which is newer: GPT-5.1 and Mistral Large 4?

Mistral Large 4 was released on 10/06/2026; GPT-5.1 on 11/13/2025.

What would 10,000 requests a month cost with GPT-5.1 and Mistral Large 4?

With 1,500 input and 400 output tokens per request: GPT-5.1: $58.75; 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.