Gemini 4 Argon
Unavailable in this round
Head-to-head comparison
Gemini 4 Argon vs. Mistral Large 3
Compare published benchmark results from matching versions and cohorts, API pricing, and technical specifications. Any documented test setup differences remain visible.
- shared result series
- 11
- distinct benchmark metrics
- 2
- latest retrieval
- 2026-10-16
Change model selection
Specifications
General specifications
Release date, availability, context window, architecture, and published parameter counts at a glance. Undisclosed details remain marked as unavailable.
| Attribute | Gemini 4 Argon | Mistral Large 3 |
|---|---|---|
| Provider | Google DeepMind | Mistral AI |
| Released | Oct 13, 2026 | Dec 2, 2025 |
| Availability | Active | Active |
| Model type | Proprietary | Open Weights |
| Parameters | Not published | 675B, 41B active |
| Architecture | Not published | Mixture of Experts |
| Context window | 1,048,576 tokens shared across input, thinking, and output | 262,144 tokens |
| Knowledge cutoff | Not published | Not published |
| Technical sources | Model | Model, Context |
Pricing
API pricing compared
The table compares official standard API rates per 1M tokens, including published cache pricing. Batch, fast, priority, regional surcharges, tool calls, and cloud platform pricing are excluded.
| Price type | Gemini 4 Argon | Mistral Large 3 |
|---|---|---|
| API input | $2 | $0.5 |
| API output | $10 | $1.5 |
| Cache read | $0.1 | Not listed |
| Cache write (5 min.) | Not listed | Not listed |
| Cache write (1 hr.) | Not listed | Not listed |
| Price verified | 10/25/2026 Source | 09/22/2026 Source |
Gemini 4 Argon, Standard pricing through November 30, 2026 Per 1 million tokens: $2.00 input, $10.00 output including thinking, and $0.10 cached input. Source | ||
Gemini 4 Argon, Standard pricing from December 1, 2026 Per 1 million tokens: $4.00 input, $20.00 output including thinking, and $0.20 cached input. Source | ||
Gemini 4 Argon, Caching Implicit caching only; explicit caching is not supported. Source | ||
Gemini 4 ArgonMistral Large 3
API inputUSD per 1M tokens, base tier
Gemini 4 Argon$2
Mistral Large 3Lower price$0.5
API outputUSD per 1M tokens, base tier
Gemini 4 Argon$10
Mistral Large 3Lower price$1.5
Key to the marks:better valuebetter, but not conclusivetie
Pricing by provider
Direct developer pricing and provider endpoint tariffs routed through OpenRouter are listed separately. Prices are in USD per 1M tokens. Context-dependent direct tiers plus regional, Flex, Priority, and other OpenRouter tariffs remain individually identifiable.
No provider tariff for Gemini 4 Argon is available in the stored OpenRouter snapshot. The official direct price is still shown.
| Model | Provider | Purchase route and tariff | Input per 1M tokens | Output per 1M tokens | Source |
|---|---|---|---|---|---|
| Gemini 4 Argon | Google DeepMind | Direct from developerStandard API | Lowest listed price: $2 | Lowest listed price: $10 | Source10/25/2026 |
| Mistral Large 3 | Mistral AI | Direct from developerStandard API | Lowest listed price: $0.5 | Lowest listed price: $1.5 | Source09/22/2026 |
| Mistral | Via OpenRoutermistral/eu | $0.55 | $1.65 | Source10/26/2026 | |
| Mistral | Via OpenRoutermistral/zdr | Lowest listed price: $0.5 | Lowest listed price: $1.5 | Source10/26/2026 |
Benchmark index
Benchmark index compared
The index combines independent benchmarks on a scale from 0 to 100. A lead only counts when a model comes first in at least 95% of 200 recalculations with randomly redrawn test families. Otherwise both count as level.
Gemini 4 Argon leads in 8 of 8 shared areas.
| Area | Gemini 4 Argon | Mistral Large 3 |
|---|---|---|
| Coding | 92.4 | below 1 |
| Reasoning | 91.6 | below 1 |
| Knowledge | 93.6 | below 1 |
| General | 90.2 | below 1 |
| Finance | 94.6 | below 1 |
| Legal | 94.9 | below 1 |
| Health | 92.8 | below 1 |
| Education | 93.6 | below 1 |
Performance
Shared benchmarks
Only published results with the same benchmark version, task, metric, and comparison cohort are paired. Different reasoning levels, agents, harnesses, or output limits appear directly in the table.
Capability profile from matched benchmarks
Each axis averages directly matched benchmark families. A value of 100 means the stronger value within this pair, not a universal quality score.
Not enough directly matched categories for a reliable radar
Only 0 of at least 5 categories have comparable, direct model measurements. The benchmark tables below show the available evidence without filling missing axes.
Gemini 4 ArgonMistral Large 3
LegalBenchOverall. Higher is better. Test setup not documented as identical
Gemini 4 ArgonHigher measured value88.299 %
Mistral Large 379.138 %
SAGEOverall. Higher is better. Test setup not documented as identical
Gemini 4 ArgonHigher measured value53.645 %
Mistral Large 324.595 %
LegalBenchConclusion Tasks. Higher is better. Test setup not documented as identical
Gemini 4 ArgonHigher measured value90.847 %
Mistral Large 381.032 %
SAGEAutomata. Higher is better. Test setup not documented as identical
Gemini 4 ArgonHigher measured value45.635 %
Mistral Large 311.905 %
LegalBenchInterpretation Tasks. Higher is better. Test setup not documented as identical
Gemini 4 ArgonHigher measured value84.097 %
Mistral Large 376.594 %
SAGECalculus. Higher is better. Test setup not documented as identical
Gemini 4 ArgonHigher measured value84.877 %
Mistral Large 30 %
LegalBenchIssue Tasks. Higher is better. Test setup not documented as identical
Gemini 4 ArgonHigher measured value92.941 %
Mistral Large 381.006 %
SAGELinear Algebra. Higher is better. Test setup not documented as identical
Gemini 4 ArgonHigher measured value74.031 %
Mistral Large 344.419 %
LegalBenchRhetoric Tasks. Higher is better. Test setup not documented as identical
Gemini 4 ArgonHigher measured value82.838 %
Mistral Large 377.926 %
SAGEPartial Differential Equations. Higher is better. Test setup not documented as identical
Gemini 4 ArgonHigher measured value41.27 %
Mistral Large 317.46 %
LegalBenchRule Tasks. Higher is better. Test setup not documented as identical
Gemini 4 ArgonHigher measured value90.774 %
Mistral Large 379.13 %
Key to the marks:better valuebetter, but not conclusivetie
| Benchmark and task | Gemini 4 Argon | Mistral Large 3 | Source |
|---|---|---|---|
LegalBenchOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 4 Argon: Reasoning: high, Temperature: 1, Output limit: 262,144 tokens Mistral Large 3: Temperature: 0.065, Output limit: 256,000 tokens | Higher measured value88.299 % | 79.138 % | Vals AISource detailsData as of: 10/13/2026 |
SAGEOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 4 Argon: Reasoning: high, Temperature: 1, Output limit: 262,144 tokens Mistral Large 3: Temperature: 1, Output limit: 30,000 tokens | Higher measured value53.645 % | 24.595 % | Vals AISource detailsData as of: 10/08/2026 |
LegalBenchConclusion TasksTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 4 Argon: Reasoning: high, Temperature: 1, Output limit: 262,144 tokens Mistral Large 3: Temperature: 0.065, Output limit: 256,000 tokens | Higher measured value90.847 % | 81.032 % | Vals AISource detailsData as of: 10/13/2026 |
SAGEAutomataTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 4 Argon: Reasoning: high, Temperature: 1, Output limit: 262,144 tokens Mistral Large 3: Temperature: 1, Output limit: 30,000 tokens | Higher measured value45.635 % | 11.905 % | Vals AISource detailsData as of: 10/08/2026 |
LegalBenchInterpretation TasksTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 4 Argon: Reasoning: high, Temperature: 1, Output limit: 262,144 tokens Mistral Large 3: Temperature: 0.065, Output limit: 256,000 tokens | Higher measured value84.097 % | 76.594 % | Vals AISource detailsData as of: 10/13/2026 |
SAGECalculusTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 4 Argon: Reasoning: high, Temperature: 1, Output limit: 262,144 tokens Mistral Large 3: Temperature: 1, Output limit: 30,000 tokens | Higher measured value84.877 % | 0 % | Vals AISource detailsData as of: 10/08/2026 |
LegalBenchIssue TasksTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 4 Argon: Reasoning: high, Temperature: 1, Output limit: 262,144 tokens Mistral Large 3: Temperature: 0.065, Output limit: 256,000 tokens | Higher measured value92.941 % | 81.006 % | Vals AISource detailsData as of: 10/13/2026 |
SAGELinear AlgebraTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 4 Argon: Reasoning: high, Temperature: 1, Output limit: 262,144 tokens Mistral Large 3: Temperature: 1, Output limit: 30,000 tokens | Higher measured value74.031 % | 44.419 % | Vals AISource detailsData as of: 10/08/2026 |
LegalBenchRhetoric TasksTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 4 Argon: Reasoning: high, Temperature: 1, Output limit: 262,144 tokens Mistral Large 3: Temperature: 0.065, Output limit: 256,000 tokens | Higher measured value82.838 % | 77.926 % | Vals AISource detailsData as of: 10/13/2026 |
SAGEPartial Differential EquationsTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 4 Argon: Reasoning: high, Temperature: 1, Output limit: 262,144 tokens Mistral Large 3: Temperature: 1, Output limit: 30,000 tokens | Higher measured value41.27 % | 17.46 % | Vals AISource detailsData as of: 10/08/2026 |
LegalBenchRule TasksTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterGemini 4 Argon: Reasoning: high, Temperature: 1, Output limit: 262,144 tokens Mistral Large 3: Temperature: 0.065, Output limit: 256,000 tokens | Higher measured value90.774 % | 79.13 % | Vals AISource detailsData as of: 10/13/2026 |
Key to the marks:better valuebetter, but not conclusivetie | |||
Our model tests
Our tests
SVG short test
One SVG prompt and fixed output settings. Captures are shown only with 0 reported reasoning tokens or documented lack of reasoning controls. Identical test conditions do not make the models' internal compute identical.
Shared test round: 43b8c5c46830
Mistral Large 3
API request failed. The model was not evaluated.
Earlier tests
Pelican on a bicycle
A community classic for free-form SVG drawing.
Gemini 4 Argon
Not tested yet
Mistral Large 3
Reasoning (model default): no reasoning mode Source
Current attempt
- Run date
- Oct 1, 2026
- API provider
- openrouter
- Requested API model
- mistralai/mistral-large-2512
- API model reported in response
- mistralai/mistral-large-2512
- Reasoning setting
- not specified
- Pinned endpoint
- Mistral | mistralai/mistral-large-2512
- Temperature
- Provider default
- Token limit including reasoning
- 8,192 tokens
- Test protocol
- community-visual-tests-v1
- Technical checks
- Passed, not a quality rating
- Response time
- 14.2 s
Visually reviewed. This individual test does not establish overall model quality.
Earlier attempts (1)
- Sep 7, 2026API request failedReasoning setting: not specified
Prompt and test conditions
Generate an SVG of a pelican riding a bicycle
Token limit including reasoning: 8,192 tokens
Task origin (Simon Willison)How to read this comparison
Winning one benchmark is not an overall verdict
Your workload, budget, and required context length matter most. A coding benchmark says little about visual understanding or agent performance.
The standard price table uses direct developer rates. The provider comparison labels OpenRouter endpoints, regions, and special tariffs separately.
Every result links to its measurement source and retrieval date. Labels distinguish vendor reports, official benchmark leaderboards, and independent evaluations. Disputed or archived results are excluded.
More matchups
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