How much do GPT-4o or Mistral Large cost per month?

For an example workload of 20 million input tokens and 5 million output tokens per month: GPT-4o: $100. Mistral Large: $70. These are token-only estimates using the displayed rates, without caching discounts, additional tool charges or taxes. Actual bills depend on usage and endpoint pricing.

Which has a larger context window: GPT-4o or Mistral Large?

GPT-4o: 128K tokens of context; maximum output 16K tokens. Mistral Large: 128K tokens of context; maximum output 102K tokens. Context capacity and maximum output are separate limits. A larger context window allows more material in a request but does not guarantee more accurate answers.

Which is better for coding: GPT-4o or Mistral Large?

GPT-4o: Artificial Analysis SciCode not listed. Mistral Large: Artificial Analysis SciCode not listed. Compare coding results within the same evaluation, then test representative tasks from your own codebase. A missing score is not a zero, and a single benchmark does not establish the best model for every programming task.

How do Arena Elo, DesignArena, Intelligence Index and MMLU-Pro differ?

These evaluations measure different tasks and use different scales. Arena Elo and DesignArena ratings must remain separate, as must Artificial Analysis Intelligence Index and MMLU-Pro. Compare models within the same evaluation rather than combining scores. Missing results are marked Not listed, not treated as measured zeroes.

Which responds faster: GPT-4o or Mistral Large?

GPT-4o: Artificial Analysis output speed 145 tokens/s; time to first token 0.84 seconds. Mistral Large: Artificial Analysis output speed not listed; time to first token not listed. Output speed measures generation throughput, while time to first token measures the initial wait. Real-world latency also depends on the API provider, request size and load; missing measurements cannot establish a speed winner.

Do GPT-4o or Mistral Large support images, audio or video?

GPT-4o: listed input formats: text, image, file; output formats: text. Mistral Large: listed input formats: text, file; output formats: text. Input and output support are different capabilities: accepting an image does not mean a model generates images. Confirm formats and file limits for the endpoint you plan to use.

Do GPT-4o or Mistral Large support tool calling and structured outputs?

GPT-4o: listed features: Function calling, Structured outputs, JSON mode, Built-in web search, Log probabilities, Deterministic seed, Prompt caching. Mistral Large: listed features: Function calling, Structured outputs, JSON mode, Deterministic seed, Prompt caching. Only recorded capabilities are shown; an unlisted feature is not proof that it is unsupported. Availability can vary by API provider, so confirm tool calling and JSON schema support for your chosen endpoint.

Can prompt caching reduce the cost of GPT-4o or Mistral Large?

GPT-4o: cached input price $1.25 per million tokens. Mistral Large: cached input price $0.20 per million tokens. Caching may reduce charges for eligible repeated input when supported by the endpoint. A listed cached rate does not guarantee every request qualifies; cache duration, minimum token counts and any write charges depend on the provider.

Are GPT-4o or Mistral Large available through an API?

GPT-4o: catalog status active; API identifier gpt-4o; listed API hosts Azure, OpenAI. Mistral Large: catalog status active; API identifier mistral-large; listed API hosts Mistral, Mistral. Catalog status is not a live availability check. Before integrating, verify the provider's documentation, endpoint access, rate limits, regional availability and data-handling terms.

Models, measured side by side

GPT-4o vs Mistral Large

Compare GPT-4o, Mistral Large by token pricing, context length, benchmark results, speed and tool support.

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Monthly workload

Input· million tokensOutput· million tokens

Monthly cost breakdown

InputOutput

GPT-4o

$100 / mo

Mistral Large

$70 / mo

Performance comparison

GPT-4o

8.4

Mistral Large

5.8

Overview

Overview	GPT-4o	Mistral Large
Provider	OpenAI	Mistral AI
Released	2024-05	2024-11
Status	Active	Active
Input formats	textimagefile	textfile
Output formats	text	text

Provider

GPT-4o: OpenAI
Mistral Large: Mistral AI

Released

GPT-4o: 2024-05
Mistral Large: 2024-11

Status

GPT-4o: Active
Mistral Large: Active

Input formats

GPT-4o: textimagefile
Mistral Large: textfile

Output formats

GPT-4o: text
Mistral Large: text

Pricing & capacity

Pricing & capacity	GPT-4o	Mistral Large
Input / 1M tokens	$2.50	$2.00
Output / 1M tokens	$10	$6.00
Cached input / 1M	$1.25	$0.20
Monthly cost	$100	$70
Context window	128K	128K
Maximum output	16K	102K

Input / 1M tokens

GPT-4o: $2.50
Mistral Large: $2.00

Output / 1M tokens

GPT-4o: $10
Mistral Large: $6.00

Cached input / 1M

GPT-4o: $1.25
Mistral Large: $0.20

Monthly cost

GPT-4o: $100
Mistral Large: $70

Context window

GPT-4o: 128K
Mistral Large: 128K

Maximum output

GPT-4o: 16K
Mistral Large: 102K

Benchmarks & performance

Benchmarks & performance	GPT-4o	Mistral Large
Arena Elo	1,178	1,189
MMLU-Pro	69.9%	71.8%
Intelligence Index	8.4	5.8
GPQA	54.3%	35.1%
Humanity’s Last Exam	2.4%	3.5%
SciCode	Not listed	Not listed
Output speed	145 tokens/s	Not listed
Time to first token	0.84 s	Not listed
DesignArena rating	864	Not listed
DesignArena win rate	34.8%	Not listed

Arena Elo

GPT-4o: 1,178
Mistral Large: 1,189

MMLU-Pro

GPT-4o: 69.9%
Mistral Large: 71.8%

Intelligence Index

GPT-4o: 8.4
Mistral Large: 5.8

GPQA

GPT-4o: 54.3%
Mistral Large: 35.1%

Humanity’s Last Exam

GPT-4o: 2.4%
Mistral Large: 3.5%

SciCode

GPT-4o: Not listed
Mistral Large: Not listed

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Tools & features

Tools & features	GPT-4o	Mistral Large
Function calling	Supported	Supported
Structured outputs	Supported	Supported
JSON mode	Supported	Supported
Reasoning	Not listed	Not listed
Built-in web search	Supported	Not listed
Log probabilities	Supported	Not listed
Deterministic seed	Supported	Supported
Parallel tool calls	Not listed	Not listed
Prompt caching	Supported	Supported

Function calling

GPT-4o: Supported
Mistral Large: Supported

Structured outputs

GPT-4o: Supported
Mistral Large: Supported

JSON mode

GPT-4o: Supported
Mistral Large: Supported

Reasoning

GPT-4o: Not listed
Mistral Large: Not listed

Built-in web search

GPT-4o: Supported
Mistral Large: Not listed

Log probabilities

GPT-4o: Supported
Mistral Large: Not listed

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API & availability

API & availability	GPT-4o	Mistral Large
API identifier	`gpt-4o`	`mistral-large`
API providers	Azure, OpenAI	Mistral, Mistral
Knowledge cutoff	2023-10-31	2024-11-30
Prices checked	Oct 8, 2026	Oct 8, 2026

API identifier

GPT-4o: gpt-4o
Mistral Large: mistral-large

API providers

GPT-4o: Azure, OpenAI
Mistral Large: Mistral, Mistral

Knowledge cutoff

GPT-4o: 2023-10-31
Mistral Large: 2024-11-30

Prices checked

GPT-4o: Oct 8, 2026
Mistral Large: Oct 8, 2026

About the models

GPT-4o

Multimodal GPT-4o "omni" model for text and image input.

Full pricing & details

Mistral Large

Mistral's top commercial model.

Full pricing & details

Comparison FAQ

GPT-4o: $2.50 input and $10 output per million tokens. Mistral Large: $2.00 input and $6.00 output per million tokens. The cheaper choice depends on your input-to-output ratio; a model can have a lower input rate but a higher output rate.

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Monthly workload

Monthly cost breakdown

Performance comparison

Overview

Pricing & capacity

Benchmarks & performance

Tools & features

API & availability

About the models

GPT-4o

Mistral Large

Comparison FAQ

Which costs less: GPT-4o or Mistral Large?

How much do GPT-4o or Mistral Large cost per month?

Which has a larger context window: GPT-4o or Mistral Large?

Which is better for coding: GPT-4o or Mistral Large?

How do Arena Elo, DesignArena, Intelligence Index and MMLU-Pro differ?

Which responds faster: GPT-4o or Mistral Large?

Do GPT-4o or Mistral Large support images, audio or video?

Do GPT-4o or Mistral Large support tool calling and structured outputs?

Can prompt caching reduce the cost of GPT-4o or Mistral Large?

Are GPT-4o or Mistral Large available through an API?

Popular model comparisons