Mistral Large 4 vs Qwen3 Max Thinking

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

Data updated on November 14, 2026· 230 models

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
QwenMax Thinking

Qwen3-Max-Thinking is the flagship reasoning model in the Qwen3 series, designed for high-stakes cognitive tasks that require deep, multi-step reasoning.

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Reasoning estimated
Speed estimated
Input
Output
Context
262 K tokens
Max output
66 K
Input, $ per 1M tokens
$0.780
Output, $ per 1M tokens
$3.90
Cache read, $ per 1M
—
Batch (input / output)
—
Tool calling
Yes
Released
02/09/2026
Knowledge cutoff
—
API id
qwen/qwen3-max-thinking
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 Large 4 vs Qwen3 Max Thinking?

  • Mistral Large 4: cheapest input (10% less than Qwen3 Max Thinking)
  • Mistral Large 4: cheapest output
  • Mistral Large 4: largest context (1 M)
  • Mistral Large 4: the newest (10/06/2026)

Mistral Large 4 costs 10% less on input and 46% less on output than Qwen3 Max Thinking ($0.700 / $2.10 versus $0.780 / $3.90 per million tokens). Mistral Large 4 accepts more context (1 M). On capabilities, Mistral Large 4 accepts images.

What would your product cost?

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

Mistral Large 4
$18.90/mo
Qwen3 Max Thinking
$27.30/mo

With Mistral Large 4 you save $8.40 a month versus Qwen3 Max Thinking (31% 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
  6. 6Ministral 3 3B 2512 Mistral$1.90

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. 3Qwen3 Max Thinking Qwen$0.059
  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: Mistral Large 4 vs Qwen3 Max Thinking?

Mistral Large 4 costs 10% less on input and 46% less on output than Qwen3 Max Thinking ($0.700 / $2.10 versus $0.780 / $3.90 per million tokens). Mistral Large 4 accepts more context (1 M). On capabilities, Mistral Large 4 accepts images.

Which is cheaper: Mistral Large 4 and Qwen3 Max Thinking?

Mistral Large 4 is cheaper: $0.700 per million input tokens and $2.10 per million output tokens, versus $0.780 / $3.90 for Qwen3 Max Thinking.

Which has more context: Mistral Large 4 and Qwen3 Max Thinking?

Mistral Large 4 accepts 1 M tokens of context; Qwen3 Max Thinking accepts 262 K.

Which is newer: Mistral Large 4 and Qwen3 Max Thinking?

Mistral Large 4 was released on 10/06/2026; Qwen3 Max Thinking on 02/09/2026.

What would 10,000 requests a month cost with Mistral Large 4 and Qwen3 Max Thinking?

With 1,500 input and 400 output tokens per request: Mistral Large 4: $18.90; Qwen3 Max Thinking: $27.30 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.