AI Index

Gemini 4 ArgonvsMistral Large 4

Both language models, compared at each maker’s own API list prices. Every figure links to its source.

Compare at your usage

Every model priced for the same request
Prompt per request
Cache hits
Batch
Service tier

8,000 tokens in, 2,000 out

Gemini 4 Argon on Gemini APIMistral Large 4 on Mistral AI API
Rate appliedBase rateBase rate
Inputper 1M tokens$2.00 $0.70
Cache readper 1M tokens$0.10 $0.070
Outputper 1M tokens$10.00 $2.10
Cost per request$0.036$0.0098
Per 1,000 requests$36.00$9.80

Every model is priced for the same request at its maker’s own list prices (each with its source and date), so bold marks the cheapest. A model that can’t serve the request is named, not ranked; a condition its seller doesn’t price says which rate was used.

Cost per request as prompts grow

2K tokens out, list price on each maker’s API.

0$0.50$1.00$1.50$2.000250K500K750K1Mprompt tokens per request8KGemini 4 Argon$0.036 at 8KMistral Large 4$0.0098 at 8K
  • Gemini 4 Argon · Gemini API
  • Mistral Large 4 · Mistral AI API

Where each stands among all scored models

Each line runs from the lowest to the highest score on the board; the tick is the median.

Epoch Capabilities Index#6 vs #45 of 118Mistral Large 4: 154.7Gemini 4 Argon: 166.5LMArena Text#2 vs #73 of 163Mistral Large 4: 1,432Gemini 4 Argon: 1,520LMArena Text · Coding#5 vs #57 of 163Mistral Large 4: 1,496Gemini 4 Argon: 1,550LMArena Text · Chinese#2 vs #54 of 161Mistral Large 4: 1,489Gemini 4 Argon: 1,579
  • Gemini 4 Argon
  • Mistral Large 4

Key differences

Gemini 4 ArgonMistral Large 4
InputMaker’s official API · global · USD
$2.00 / 1M tokens Gemini API pricing · as of Nov 1, 2026
$0.70 / 1M tokens Mistral pricing · as of Nov 1, 2026
OutputMaker’s official API · global · USD
$10.00 / 1M tokens Gemini API pricing · as of Nov 1, 2026
$2.10 / 1M tokens Mistral pricing · as of Nov 1, 2026
Input modalities
Text, Image, Audio, Video, PDF Gemini 4 Argon | Gemini API | Google AI for Developers · as of Nov 1, 2026
Text, Image Mistral Large 4 · as of Nov 4, 2026
Cache readMaker’s official API · global · USD
$0.10 / 1M tokens Gemini API pricing · as of Nov 1, 2026
$0.070 / 1M tokens Mistral pricing · as of Nov 1, 2026

These differences use verified vendor specifications or each maker’s official API on the same region, currency, meter and billing conditions. Different conditions remain side by side in the full table; they do not establish which model is cheaper. Declared features describe support, not measured quality or a recommendation. Missing evidence does not mean a feature is unsupported.

Full comparison

Gemini 4 Argon Google Mistral Large 4 Mistral AI
Overview
ReleasedOct 13, 2026 Oct 6, 2026
Knowledge cutoffMar 2026 Not stated
Specs
Context1M 1M
Max output1M 262.14K
Input modalitiesText, Image, Audio, Video, PDF Text, Image
Output modalitiesText Text
ReasoningYes Yes
Reasoning effortslow, medium, high Not stated
Tool useYes Yes
Structured outputYes Yes
Pricing · per 1M tokens
Input price$2.00Also priced under other conditions: Batch, Flex tier, Priority tier $0.70
Output price$10.00Also priced under other conditions: Batch, Flex tier, Priority tier $2.10
Cache read price$0.10Also priced under other conditions: Batch, Flex tier, Priority tier $0.070
Blended price (3 input : 1 output)$4.00 $1.05
Pricing under conditions · per 1M tokens
Batch input price$1.00Batch Not offered
Batch output price$5.00Batch Not offered
Flex tier input price$1.00Flex tier Not offered
Flex tier output price$5.00Flex tier Not offered
Priority tier input price$3.60Priority tier Not offered
Priority tier output price$18.00Priority tier Not offered
Cited scores
Epoch Capabilities Index166.5 154.7
LMArena Text1,520 high effort1,432
LMArena Text · Coding1,550 high effort1,496
LMArena Vision— 1,272
LMArena Text · Chinese1,579 high effort1,489
Epoch AI · GPQA Diamond96.4% high effort—
Epoch AI · FrontierMath Tiers 1–386% high effort—

Headline prices may come from different channels, regions or tiers. Check each source before choosing a model; missing facts stay blank.

Model details and sources

Cited scores