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Compare performance benchmarks, coding intelligence, reasoning evaluations, context limits, and API economics between Mistral Large 4 (Mistral AI) and Gemini 4 Argon (Google DeepMind).
| Metric / Capability | Mistral Large 4 | Gemini 4 Argon |
|---|---|---|
| Developer / Organization | Mistral AI | Google DeepMind |
| Release Date | 2026-10-06 | 2026-10-13 |
| Deployment / Weights | Proprietary Cloud API | Proprietary Cloud API |
| Context Window | 1.0M tokens (1,048,576 tokens) | 1.0M tokens (1,048,576 tokens) |
| Input Pricing (/1M Tokens) | $1.36 | $2 |
| Output Pricing (/1M Tokens) | $4.18 | $10 |
| Benchmark / Domain | Mistral Large 4 | Gemini 4 Argon | Advantage |
|---|---|---|---|
Artificial Analysis Intelligence Index Composite index aggregating 10+ evaluations of general reasoning and knowledge. | 38.4% | 52.6% | Gemini 4 Argon (+37%) |
Artificial Analysis Coding Agent Index v2.0 Composite index of coding-agent systems (model + harness) across FrontierCode v1.1, SWE-Atlas-QnA, and Terminal-Bench v4. | — | 53.2% | — |
Terminal-Bench 4.0 Sandboxed command-line tasks requiring shell and file-system operation. | — | 57.4% | — |
ARC-AGI-2 Novel visual grid puzzles requiring abstract rule induction. | — | 91.3% | — |
FrontierMath v2 (Tiers 1-3) Unpublished, research-level mathematics problems across Tiers 1-3. | — | 86.0% | — |
Design Arena ELO Human-preference ELO across UI, 3D, data-visualization, and game-dev generations. | 1275 | 1438 | Gemini 4 Argon (+13%) |
Gemini 4 Argon outperforms Mistral Large 4 across 2 evaluated benchmarks compared to 0 for Mistral Large 4, excelling in Artificial Analysis Intelligence Index, Design Arena ELO.
Both models feature equivalent context windows of 1.0M tokens (1,048,576 tokens).
Mistral Large 4 is more cost-effective. Input tokens cost $1.36/M tokens vs $2/M tokens for Gemini 4 Argon.
Mistral Large 4 is a proprietary cloud API. Gemini 4 Argon is a proprietary cloud API.
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