GPT-6 Luna Pro vs Mistral Medium 3.5
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on September 30, 2026· 217 models
GPT-6 Luna Pro is the same underlying model as GPT-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
- ▲$0.100
- Output, $ per 1M tokens
- ▲$0.500
- Cache read, $ per 1M
- $0.010
- Batch (input / output)
- $0.050 / $0.250
- Tool calling
- Yes
- Released
- ▲09/22/2026
- Knowledge cutoff
- —
- API id
- openai/gpt-6-luna-pro
Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI.
- Reasoning estimated
- Speed estimated
- Input
- Output
- Context
- 262 K tokens
- Max output
- ▲210 K
- Input, $ per 1M tokens
- $1.50
- Output, $ per 1M tokens
- $7.50
- Cache read, $ per 1M
- —
- Batch (input / output)
- $0.750 / $3.75
- Tool calling
- Yes
- Released
- 05/01/2026
- Knowledge cutoff
- —
- API id
- mistralai/mistral-medium-3-5
Which is the better API choice: GPT-6 Luna Pro vs Mistral Medium 3.5?
- GPT-6 Luna Pro: cheapest input (93% less than Mistral Medium 3.5)
- GPT-6 Luna Pro: cheapest output
- GPT-6 Luna Pro: largest context (1.1 M)
- GPT-6 Luna Pro: the newest (09/22/2026)
- GPT-6 Luna Pro: most reasoning (estimated)
- GPT-6 Luna Pro: the fastest (estimated)
GPT-6 Luna Pro costs 93% less on input and 93% less on output than Mistral Medium 3.5 ($0.100 / $0.500 versus $1.50 / $7.50 per million tokens). GPT-6 Luna Pro accepts more context (1.1 M). On capabilities, GPT-6 Luna Pro has a reasoning mode. GPT-6 Luna Pro and Mistral Medium 3.5 offer 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-6 Luna Pro you save $49.00 a month versus Mistral Medium 3.5 (93% less).
The 6 cheapest for this scenario (chat, last 12 months)
- 1Lyria 3 Pro Preview Google$0.00
- 2Lyria 3 Clip Preview Google$0.00
- 3Qwen3.7 Flash Qwen$0.97
- 4DeepSeek V4 Flash 0731 DeepSeek$1.55
- 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)
- 1GPT-6 Luna Pro OpenAI$0.008
- 2Mistral Medium 3.5 Mistral$0.114
- 3Claude Sonnet 5.5 Anthropic$0.152
- 4Claude Sonnet 5 Anthropic$0.152
- 5Claude Opus 5.5 Anthropic$0.304
- 6Claude Opus 5 Anthropic$0.380
- 7Claude Fable 5.1 Anthropic$0.760
- 8Claude Fable 5 Anthropic$0.760
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Frequently asked questions
Which is the better API choice: GPT-6 Luna Pro vs Mistral Medium 3.5?
GPT-6 Luna Pro costs 93% less on input and 93% less on output than Mistral Medium 3.5 ($0.100 / $0.500 versus $1.50 / $7.50 per million tokens). GPT-6 Luna Pro accepts more context (1.1 M). On capabilities, GPT-6 Luna Pro has a reasoning mode. GPT-6 Luna Pro and Mistral Medium 3.5 offer a batch tier at half price for jobs that do not need an immediate answer.
Which is cheaper: GPT-6 Luna Pro and Mistral Medium 3.5?
GPT-6 Luna Pro is cheaper: $0.100 per million input tokens and $0.500 per million output tokens, versus $1.50 / $7.50 for Mistral Medium 3.5.
Which has more context: GPT-6 Luna Pro and Mistral Medium 3.5?
GPT-6 Luna Pro accepts 1.1 M tokens of context; Mistral Medium 3.5 accepts 262 K.
Which is newer: GPT-6 Luna Pro and Mistral Medium 3.5?
GPT-6 Luna Pro was released on 09/22/2026; Mistral Medium 3.5 on 05/01/2026.
What would 10,000 requests a month cost with GPT-6 Luna Pro and Mistral Medium 3.5?
With 1,500 input and 400 output tokens per request: GPT-6 Luna Pro: $3.50; Mistral Medium 3.5: $52.50 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.