GPT-5.6 Luna Pro vs Mistral Large 4
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on October 22, 2026· 222 models
GPT-5.6 Luna Pro is the same underlying model as GPT-5.6 Luna, served with reasoning.mode set to pro for higher-quality responses on complex tasks.
- Reasoning estimated
- Speed estimated
- ▲
- Input
- Output
- Context
- ▲1.1 M tokens
- Max output
- 128 K
- Input, $ per 1M tokens
- ▲$0.200
- Output, $ per 1M tokens
- ▲$1.20
- Cache read, $ per 1M
- $0.020
- Batch (input / output)
- $0.100 / $0.600
- Tool calling
- Yes
- Released
- 07/09/2026
- Knowledge cutoff
- 2026-02-16
- API id
- openai/gpt-5.6-luna-pro
Mistral Large 4 is a frontier multimodal (text and image input) model from Mistral AI built for reasoning, coding, and agentic workloads.
- Reasoning estimated
- Speed estimated
- Input
- Output
- Context
- 1 M tokens
- Max output
- ▲262 K
- Input, $ per 1M tokens
- $1.36
- Output, $ per 1M tokens
- $4.18
- Cache read, $ per 1M
- $0.140
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- ▲10/06/2026
- Knowledge cutoff
- —
- API id
- mistralai/mistral-large-4-0
Which is the better API choice: GPT-5.6 Luna Pro vs Mistral Large 4?
- GPT-5.6 Luna Pro: cheapest input (85% less than Mistral Large 4)
- GPT-5.6 Luna Pro: cheapest output
- GPT-5.6 Luna Pro: largest context (1.1 M)
- Mistral Large 4: the newest (10/06/2026)
- GPT-5.6 Luna Pro: the fastest (estimated)
GPT-5.6 Luna Pro costs 85% less on input and 71% less on output than Mistral Large 4 ($0.200 / $1.20 versus $1.36 / $4.18 per million tokens). GPT-5.6 Luna Pro accepts more context (1.1 M). GPT-5.6 Luna Pro offers a batch tier at half price for jobs that do not need an immediate answer.
What would your product cost?
Estimate the monthly cost with your app's real volume. List prices, no cache or batch discounts.
With GPT-5.6 Luna Pro you save $29.32 a month versus Mistral Large 4 (79% less).
The 6 cheapest for this scenario (chat, last 12 months)
- 1Lyria 3 Clip Preview Google$0.00
- 2Lyria 3 Pro Preview Google$0.00
- 3Qwen3.7 Flash Qwen$0.97
- 4Qwen3.5-9B Qwen$1.72
- 5Ministral 3 3B 2512 Mistral$1.90
- 6Qwen3.5-Flash Qwen$2.02
Paste your prompt: tokens and cost per model
Rough estimate (about 4 characters per token). Nothing is sent to any server.
Cost of sending it 1,000 times (input only)
- 1Claude Haiku 5.5 Anthropic$0.008
- 2GPT-5.6 Luna Pro OpenAI$0.015
- 3Mistral Large 4 Mistral$0.103
- 4Claude Sonnet 5.5 Anthropic$0.152
- 5Claude Sonnet 5 Anthropic$0.152
- 6Claude Opus 5.5 Anthropic$0.304
- 7Claude Opus 5 Anthropic$0.380
- 8Claude Fable 5.1 Anthropic$0.760
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Frequently asked questions
Which is the better API choice: GPT-5.6 Luna Pro vs Mistral Large 4?
GPT-5.6 Luna Pro costs 85% less on input and 71% less on output than Mistral Large 4 ($0.200 / $1.20 versus $1.36 / $4.18 per million tokens). GPT-5.6 Luna Pro accepts more context (1.1 M). GPT-5.6 Luna Pro offers a batch tier at half price for jobs that do not need an immediate answer.
Which is cheaper: GPT-5.6 Luna Pro and Mistral Large 4?
GPT-5.6 Luna Pro is cheaper: $0.200 per million input tokens and $1.20 per million output tokens, versus $1.36 / $4.18 for Mistral Large 4.
Which has more context: GPT-5.6 Luna Pro and Mistral Large 4?
GPT-5.6 Luna Pro accepts 1.1 M tokens of context; Mistral Large 4 accepts 1 M.
Which is newer: GPT-5.6 Luna Pro and Mistral Large 4?
Mistral Large 4 was released on 10/06/2026; GPT-5.6 Luna Pro on 07/09/2026.
What would 10,000 requests a month cost with GPT-5.6 Luna Pro and Mistral Large 4?
With 1,500 input and 400 output tokens per request: GPT-5.6 Luna Pro: $7.80; Mistral Large 4: $37.12 a month, at list price.
Where do the prices come from and how often are they updated?
From the public catalogs of OpenRouter, models.dev and LiteLLM, which publish each provider's list prices. They sync once a day and the last update date is shown above the comparison.
What does price per million tokens mean?
It is what the provider charges per million tokens you send (input) or the model generates (output). A token is roughly 4 characters. Output almost always costs more than input.
Sources: OpenRouter, models.dev and LiteLLM. Prices in USD per million tokens, list price, no volume discounts. Prompt tokens are an estimate; each provider's tokenizer may differ.