GPT-6 Luna
Unavailable in this round
Head-to-head comparison
GPT-6 Luna 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
- 1
- distinct benchmarks
- 1
- latest retrieval
- 2026-09-29
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 | GPT-6 Luna | Mistral Large 3 |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Released | Sep 22, 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 | 1,050,000 tokens | 262,144 tokens |
| Knowledge cutoff | May 18, 2026 | Not published |
| Technical sources | Model, Context | 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 | GPT-6 Luna | Mistral Large 3 |
|---|---|---|
| API input | $0.1 ≤272K / $0.2 >272K | $0.5 |
| API output | $0.5 ≤272K / $0.75 >272K | $1.5 |
| Cache read | $0.01 ≤272K / $0.02 >272K | Not listed |
| Cache write (5 min.) | $0.13 ≤272K / $0.25 >272K | Not listed |
| Cache write (1 hr.) | Not listed | Not listed |
| Price verified | 09/22/2026 Source | 09/22/2026 Source |
GPT-6 LunaMistral Large 3
API inputUSD per 1M tokens, base tier
GPT-6 LunaLower price$0.1
Mistral Large 3$0.5
API outputUSD per 1M tokens, base tier
GPT-6 LunaLower price$0.5
Mistral Large 3$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.
| Model | Provider | Purchase route and tariff | Input per 1M tokens | Output per 1M tokens | Source |
|---|---|---|---|---|---|
| GPT-6 Luna | OpenAI | Direct from developerUp to 272,000 context tokens | $0.1 | $0.5 | Source09/22/2026 |
| OpenAI | Direct from developerAbove 272,000 context tokens | $0.2 | $0.75 | Source09/22/2026 | |
| Amazon Bedrock | Via OpenRouteramazon-bedrock/us-east-1 | $0.11 | $0.55 | Source10/13/2026 | |
| Azure | Via OpenRouterazure | $0.1 | $0.5 | Source10/13/2026 | |
| Azure | Via OpenRouterazure/eu | $0.11 | $0.55 | Source10/13/2026 | |
| Azure | Via OpenRouterazure/us | $0.11 | $0.55 | Source10/13/2026 | |
| OpenAI | Via OpenRouteropenai | $0.1 | $0.5 | Source10/13/2026 | |
| OpenAI | Via OpenRouteropenai/fast | $0.2 | $1 | Source10/13/2026 | |
| OpenAI | Via OpenRouteropenai/flex | Lowest listed price: $0.05 | Lowest listed price: $0.25 | Source10/13/2026 | |
| 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 | Source10/13/2026 | |
| Mistral | Via OpenRoutermistral/zdr | Lowest listed price: $0.5 | Lowest listed price: $1.5 | Source10/13/2026 |
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 1 of at least 5 categories have comparable, direct model measurements. The benchmark tables below show the available evidence without filling missing axes.
GPT-6 LunaMistral Large 3
SAGEOverall. Higher is better. No documented setup difference
GPT-6 LunaWinner48.091 %
Mistral Large 324.595 %
Key to the marks:better valuebetter, but not conclusivetie
| Benchmark and task | GPT-6 Luna | Mistral Large 3 | Source |
|---|---|---|---|
SAGEOverallTest detailsNo documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better | Winner48.091 % | 24.595 % | Vals AISource detailsData as of: 09/26/2026 |
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: 4ae5d8eeb9a9
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.
GPT-6 Luna
Reasoning (requested): high
Current attempt
- Run date
- Oct 1, 2026
- API provider
- openrouter
- Requested API model
- openai/gpt-6-luna
- API model reported in response
- openai/gpt-6-luna
- Reasoning setting
- high
- Pinned endpoint
- OpenAI | openai/gpt-6-luna-20260922
- 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
- 46.7 s
Visually reviewed. This individual test does not establish overall model quality.
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
Related LLM comparisons
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