AI model comparison
Mistral Large 4 vs GPT-5.6 Luna
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Mistral
Mistral Large 4
Mistral Large 4 is a frontier multimodal (text and image input) model from Mistral AI built for reasoning, coding, and agentic workloads.
- Input / 1M
- $0.68
- Output / 1M
- $2.09
- Context
- 1.05M
OpenAI
GPT-5.6 Luna
GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series.
- Input / 1M
- $0.20
- Output / 1M
- $1.20
- Context
- 1.05M
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
GPT-5.6 Luna
2.4x cheaper for a typical chat
Higher intelligence score
Mistral Large 4
38.4 vs 37.3 on Artificial Analysis
Larger context window
GPT-5.6 Luna
1.05M vs 1.05M tokens
Newer release
Mistral Large 4
Released October 6, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Mistral Large 438.4GPT-5.6 Luna37.3Coding index
Mistral Large 4Not availableGPT-5.6 Luna71.4Agentic index
Mistral Large 4Not availableGPT-5.6 Luna42.1Pricing
Mistral Large 4 vs GPT-5.6 Luna API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Mistral Large 4 | GPT-5.6 Luna |
|---|---|---|
| Input tokensPer 1M tokens | $0.68 | $0.20 |
| Output tokensPer 1M tokens | $2.09 | $1.20 |
| Cached input (read)Per 1M tokens | $0.07 | $0.02 |
| Cache writePer 1M tokens | Not available | $0.25 |
| Long-context pricingPer 1M tokens, for very long prompts | Same rate at any length | $0.40 in / $1.80 out above 272K |
| Web searchPer request | Not available | $0.01 |
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
Mistral Large 4$2.40GPT-5.6 Luna$1Coding task
30K in, 4K out
Mistral Large 4$28.76$10.46 cachedGPT-5.6 Luna$10.80$5.40 cachedLong document summary
150K in, 2K out
Mistral Large 4$106.18$14.68 cachedGPT-5.6 Luna$32.40$5.40 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Mistral Large 4 | GPT-5.6 Luna |
|---|---|---|
| Context window | 1.05M tokens | 1.05M tokens |
| Max output | 262K tokens | 128K tokens |
| Input types | Image, Text | File, Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | High, None | Max, Extra high, High, Medium, Low, None |
| Default reasoning effort | High | Medium |
| Release date | October 6, 2026 | July 9, 2026 |
Features
Supported features
API features available for each model.
| Metric | Mistral Large 4 | GPT-5.6 Luna |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Not supported |
| Stop sequences | Supported | Not supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
Mistral Large 4View full model details- Mistral Large 4 vs Step 5 Preview
- Mistral Large 4 vs GLM 5.3 Flash
- Mistral Large 4 vs Gemini 3.8 Flash
- Mistral Large 4 vs Gemini 3.7 Flash
- Mistral Large 4 vs Muse Spark 1.2
- Mistral Large 4 vs DeepSeek V4.1 Flash
- Mistral Large 4 vs GPT-6 Luna
- Mistral Large 4 vs MiMo-V2.6-Flash
- Mistral Large 4 vs DeepSeek V4 Pro 0813
- Mistral Large 4 vs Qwen3.8 27B
GPT-5.6 LunaView full model details- GPT-5.6 Luna vs DeepSeek V4.1 Flash
- GPT-5.6 Luna vs Step 5 Preview
- GPT-5.6 Luna vs GLM 5.3 Flash
- GPT-5.6 Luna vs MiMo-V2.6-Flash
- GPT-5.6 Luna vs GPT-6 Luna
- GPT-5.6 Luna vs DeepSeek V4 Flash 0731
- GPT-5.6 Luna vs Claude Haiku 5.5
- GPT-5.6 Luna vs DeepSeek V4 Pro 0813
- GPT-5.6 Luna vs Ling 3.1 Flash
- GPT-5.6 Luna vs Qwen3.8 27B
- GPT-5.6 Luna vs GPT-6 Luna Pro
- GPT-5.6 Luna vs DeepSeek V4 Flash Vision Exp
- GPT-5.6 Luna vs GLM 5.3 FlashX
- GPT-5.6 Luna vs GPT-5.6 Luna Pro
Our take
GPT-5.6 Luna is 2.4x cheaper for a typical chat. Mistral Large 4 scores higher on the Artificial Analysis Intelligence Index (38.4 vs 37.3). GPT-5.6 Luna has the larger context window (1.05M vs 1.05M 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 Mistral Large 4 or GPT-5.6 Luna cheaper?
GPT-5.6 Luna is cheaper for a typical chat (2K input tokens and 500 output tokens). GPT-5.6 Luna costs $0.20 per 1M input tokens and $1.20 per 1M output tokens, while Mistral Large 4 costs $0.68 per 1M input tokens and $2.09 per 1M output tokens.
Which has a bigger context window, Mistral Large 4 or GPT-5.6 Luna?
GPT-5.6 Luna supports up to 1.05M tokens of context, compared with 1.05M for Mistral Large 4.
Is Mistral Large 4 smarter than GPT-5.6 Luna?
On the Artificial Analysis Intelligence Index, Mistral Large 4 scores 38.4 and GPT-5.6 Luna scores 37.3, putting Mistral Large 4 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Mistral Large 4 and GPT-5.6 Luna at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Mistral Large 4 and GPT-5.6 Luna answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Mistral Large 4 and GPT-5.6 Luna at the same time. Compare the answers side by side and keep the best one.