Mistral Medium 3.5 vs o3 Pro

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

Data updated on September 30, 2026· 217 models

MistralMedium 3.5

Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI.

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Reasoning estimated
Speed estimated
▲
Input
Output
Context
▲262 K tokens
Max output
▲210 K
Input, $ per 1M tokens
▲$1.50
Output, $ per 1M tokens
▲$7.50
Cache read, $ per 1M
—
Batch (input / output)
$0.750 / $3.75
Tool calling
Yes
Released
▲05/01/2026
Knowledge cutoff
—
API id
mistralai/mistral-medium-3-5
OpenAIo3 Pro

The o-series of models are trained with reinforcement learning to think before they answer and perform complex reasoning.

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Reasoning estimated
▲
Speed estimated
Input
Output
Context
200 K tokens
Max output
100 K
Input, $ per 1M tokens
$20.00
Output, $ per 1M tokens
$80.00
Cache read, $ per 1M
—
Batch (input / output)
—
Tool calling
Yes
Released
06/10/2025
Knowledge cutoff
2024-05
API id
openai/o3-pro
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: Mistral Medium 3.5 vs o3 Pro?

  • Mistral Medium 3.5: cheapest input (93% less than o3 Pro)
  • Mistral Medium 3.5: cheapest output
  • Mistral Medium 3.5: largest context (262 K)
  • Mistral Medium 3.5: the newest (05/01/2026)
  • o3 Pro: most reasoning (estimated)
  • Mistral Medium 3.5: the fastest (estimated)

Mistral Medium 3.5 costs 93% less on input and 91% less on output than o3 Pro ($1.50 / $7.50 versus $20.00 / $80.00 per million tokens). Mistral Medium 3.5 accepts more context (262 K). On capabilities, o3 Pro has a reasoning mode. Mistral Medium 3.5 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.

Mistral Medium 3.5
$52.50/mo
o3 Pro
$620.00/mo

With Mistral Medium 3.5 you save $567.50 a month versus o3 Pro (92% less).

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  4. 4DeepSeek V4 Flash 0731 DeepSeek$1.55
  5. 5Ministral 3 3B 2512 Mistral$1.90
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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. 1Mistral Medium 3.5 Mistral$0.114
  2. 2Claude Sonnet 5.5 Anthropic$0.152
  3. 3Claude Sonnet 5 Anthropic$0.152
  4. 4Claude Opus 5.5 Anthropic$0.304
  5. 5Claude Opus 5 Anthropic$0.380
  6. 6Claude Fable 5.1 Anthropic$0.760
  7. 7Claude Fable 5 Anthropic$0.760
  8. 8o3 Pro OpenAI$1.52

Popular comparisons

Frequently asked questions

Which is the better API choice: Mistral Medium 3.5 vs o3 Pro?

Mistral Medium 3.5 costs 93% less on input and 91% less on output than o3 Pro ($1.50 / $7.50 versus $20.00 / $80.00 per million tokens). Mistral Medium 3.5 accepts more context (262 K). On capabilities, o3 Pro has a reasoning mode. Mistral Medium 3.5 offers a batch tier at half price for jobs that do not need an immediate answer.

Which is cheaper: Mistral Medium 3.5 and o3 Pro?

Mistral Medium 3.5 is cheaper: $1.50 per million input tokens and $7.50 per million output tokens, versus $20.00 / $80.00 for o3 Pro.

Which has more context: Mistral Medium 3.5 and o3 Pro?

Mistral Medium 3.5 accepts 262 K tokens of context; o3 Pro accepts 200 K.

Which is newer: Mistral Medium 3.5 and o3 Pro?

Mistral Medium 3.5 was released on 05/01/2026; o3 Pro on 06/10/2025.

What would 10,000 requests a month cost with Mistral Medium 3.5 and o3 Pro?

With 1,500 input and 400 output tokens per request: Mistral Medium 3.5: $52.50; o3 Pro: $620.00 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.