Side by side
Ministral 3 3B 2512 vs GPT-6 Luna (batch)
Source: OpenRouter (live)
Live figures
The numbers
Best value in each row is highlighted. “Not declared” means the provider does not advertise the feature on its listing.
| Attribute | ||
|---|---|---|
| Input priceUSD per 1M tokens | $0.10 | $0.05 (best) |
| Output priceUSD per 1M tokens | $0.10 (best) | $0.25 |
| Blended price75% in / 25% out | $0.10 (best) | $0.10 |
| Vs. market median | 88% cheaper | 88% cheaper |
| Value rankcheapest = 1 | #35 (best) | #37 |
| Context windowtokens | 131K | 1.1M (best) |
| Max outputtokens | 105K | 128K (best) |
| Input modalities | text, image | file, image, text |
| Output modalities | text | text |
| Tool calling | Declared | Declared |
| Reasoning | Not declared | Declared |
| Structured output | Declared | Declared |
| Listed on OpenRouter | 2025-12-02 | 2026-09-22 (best) |
Blended price assumes a 3:1 input-to-output token mix. Median is across all 431 priced models.
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At your volume
Estimate the monthly bill for these models at your own token volumes.
| Model | Input | Output | Monthly | Yearly | vs cheapest | |
|---|---|---|---|---|---|---|
| OpenAI: GPT-6 Luna (batch) OpenAI · $0.050 in / $0.250 out per M | $2.50 | $3.75 | $6.25 | $75 | Cheapest | |
| Mistral: Ministral 3 3B 2512 Mistral · $0.100 in / $0.100 out per M | $5.00 | $1.50 | $6.50 | $78 | +$0.250 (1.0×) |
Estimates use list prices per million tokens from live provider listings. Cached-input, batch and volume discounts are not included, so real bills are often lower.
Read-out
What the numbers say
- Mistral: Ministral 3 3B 2512 is the cheapest here at $0.10/M blended; OpenAI: GPT-6 Luna (batch) costs 0% more.
- OpenAI: GPT-6 Luna (batch) offers the largest context window (1.1M tokens) versus 131K for Mistral: Ministral 3 3B 2512.
- Reasoning mode is declared for OpenAI: GPT-6 Luna (batch) only.
Models
Model pages
Full pricing history, capabilities and alternatives for each model in this comparison.
Mistral
$0.100
/M blended
$0.100
/M blended
More comparisons
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