AI model comparison
GPT-6 Luna vs Mistral Nemo
Side by side comparison of GPT-6 Luna and Mistral Nemo on pricing, benchmark scores, context window, and more.
GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol.
- Input / 1M
- $0.10
- Output / 1M
- $0.50
- Context
- 1.05M
A 12B parameter model with a 128k token context length built by Mistral in collaboration with NVIDIA.
- Input / 1M
- $0.03
- Output / 1M
- $0.03
- Context
- 131K
Comparing image generators? Compare image models
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Mistral Nemo
6.2x cheaper for a typical chat
Higher intelligence score
Not available
Not enough benchmark data
Larger context window
GPT-6 Luna
1.05M vs 131K tokens
Newer release
GPT-6 Luna
Released September 22, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
GPT-6 Luna27.8Mistral NemoNot availableCoding index
GPT-6 LunaNot availableMistral NemoNot availableAgentic index
GPT-6 LunaNot availableMistral NemoNot availablePricing
GPT-6 Luna vs Mistral Nemo API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | GPT-6 Luna | Mistral Nemo |
|---|---|---|
| Input tokensPer 1M tokens | $0.10 | $0.03 |
| Output tokensPer 1M tokens | $0.50 | $0.03 |
| Cached input (read)Per 1M tokens | $0.01 | Not available |
| Cache writePer 1M tokens | $0.13 | Not available |
| Long-context pricingPer 1M tokens, for very long prompts | $0.20 in / $0.75 out above 272K | Same rate at any length |
| Web searchPer request | $0.01 | Not available |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
GPT-6 Luna$0.45Mistral Nemo$0.07Coding task
30K in, 4K out
GPT-6 Luna$5$2.30 cachedMistral Nemo$0.99Long document summary
150K in, 2K out
GPT-6 Luna$16$2.50 cachedMistral Nemo$4.41Specs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | GPT-6 Luna | Mistral Nemo |
|---|---|---|
| Context window | 1.05M tokens | 131K tokens |
| Max output | 128K tokens | 16K tokens |
| Input types | File, Image, Text | Text |
| Output types | Text | Text |
| Reasoning effort levels | Max, Extra high, High, Medium, Low, None | Not available |
| Default reasoning effort | Medium | Not available |
| Release date | September 22, 2026 | July 19, 2024 |
Features
Supported features
API features available for each model.
| Metric | GPT-6 Luna | Mistral Nemo |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Not supported |
| Temperature | Not supported | Supported |
| Stop sequences | Not supported | Supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
GPT-6 LunaView full model details- GPT-6 Luna vs DeepSeek V4.1 Flash 1017
- GPT-6 Luna vs GLM 5.3 Flash
- GPT-6 Luna vs DeepSeek V4.1 Flash
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- GPT-6 Luna vs GLM 5.3
- GPT-6 Luna vs MiniMax M3.1 Flash
- GPT-6 Luna vs DeepSeek V4 Flash 0731
- GPT-6 Luna vs GPT-6.1 Sol
- GPT-6 Luna vs MiMo-V2.6-Flash
- GPT-6 Luna vs Hy3
- GPT-6 Luna vs DeepSeek V4 Flash 0423
- GPT-6 Luna vs Claude Haiku 5.5
- GPT-6 Luna vs GPT-5.6 Luna
- GPT-6 Luna vs GPT-6 Astra
- GPT-6 Luna vs Muse Spark 1.3 Contributor
- GPT-6 Luna vs Claude Sonnet 5.5
- GPT-6 Luna vs GPT-6.1 Terra
- GPT-6 Luna vs Gemini 4 Argon
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- GPT-6 Luna vs Solar Mini 4
- GPT-6 Luna vs Muse Spark 1.3
- GPT-6 Luna vs MiniMax M3
- GPT-6 Luna vs Qwen3.8 Max (0902)
- GPT-6 Luna vs DeepSeek V4 Pro 0813
- GPT-6 Luna vs Qwen3.8 Flash
- GPT-6 Luna vs Solar Pro 4
- GPT-6 Luna vs Gemini 3.1 Flash Lite
- GPT-6 Luna vs DeepSeek V4 Pro 0423
- GPT-6 Luna vs Qwen3.8 27B
- GPT-6 Luna vs Mistral Large 4
- GPT-6 Luna vs GPT-6 Luna Pro
- GPT-6 Luna vs Gemma 4 31B
- GPT-6 Luna vs Qwen3.7 Flash
- GPT-6 Luna vs Nemotron 3.5 Super VL
- GPT-6 Luna vs Step 3.7 Flash
- GPT-6 Luna vs gpt-oss-120b
- GPT-6 Luna vs Gemma 4 26B A4B
- GPT-6 Luna vs Gemini 2.5 Flash Lite
- GPT-6 Luna vs DeepSeek V3.2
- GPT-6 Luna vs GPT-4o-mini
- GPT-6 Luna vs gpt-oss-20b
- GPT-6 Luna vs GLM 5.3 FlashX
- GPT-6 Luna vs Qwen3.6 35B A3B
- GPT-6 Luna vs GPT-5.6 Luna Pro
- GPT-6 Luna vs Ling 3.1 Flash
Mistral NemoView full model details- Mistral Nemo vs DeepSeek V4.1 Flash 1017
- Mistral Nemo vs GLM 5.3 Flash
- Mistral Nemo vs DeepSeek V4.1 Flash
- Mistral Nemo vs MiniMax M3.1 Flash
- Mistral Nemo vs DeepSeek V4 Flash 0731
- Mistral Nemo vs DeepSeek V4 Flash 0423
- Mistral Nemo vs Muse Spark 1.3 Contributor
- Mistral Nemo vs Qwen3.7 Flash
- Mistral Nemo vs gpt-oss-20b
Our take
Mistral Nemo is 6.2x cheaper for a typical chat. GPT-6 Luna has the larger context window (1.05M vs 131K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is GPT-6 Luna or Mistral Nemo cheaper?
Mistral Nemo is cheaper for a typical chat (2K input tokens and 500 output tokens). Mistral Nemo costs $0.03 per 1M input tokens and $0.03 per 1M output tokens, while GPT-6 Luna costs $0.10 per 1M input tokens and $0.50 per 1M output tokens.
Which has a bigger context window, GPT-6 Luna or Mistral Nemo?
GPT-6 Luna supports up to 1.05M tokens of context, compared with 131K for Mistral Nemo.
Can I use GPT-6 Luna and Mistral Nemo at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see GPT-6 Luna and Mistral Nemo answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to GPT-6 Luna and Mistral Nemo at the same time. Compare the answers side by side and keep the best one.