Mistral Large 3 API Pricing
Mistral Large 3 costs $0.5 per 1M input tokens and $1.50 per 1M output tokens on World (Other)'s API. Prices are provider list prices in USD, refreshed as sources update; see the Mistral Large 3 model profile for capability scores.
Price List
| Rate | Price (USD) | Notes |
|---|---|---|
| Input | $0.5 | per 1M tokens |
| Output | $1.50 | per 1M tokens |
| Blended input + output | $2.00 | 1M in + 1M out at list price |
| Context window | 256K tokens |
What a Workload Costs
Computed straight from the list prices above — token counts are illustrative workload sizes, not measurements of Mistral Large 3.
| Workload | Cost | Tokens |
|---|---|---|
| Short chat turn | $0.00125 | 1K in / 500 out |
| Summarize a long document | $0.053 | 100K in / 2K out |
| Agentic coding session | $0.400 | 500K in / 100K out |
| 1M input + 1M output tokens | $2.00 | 1M in / 1M out |
Effective Cost
In AI IQ's scoring, Mistral Large 3's list price is adjusted by a token-usage multiplier of 0.313 (measured from real benchmark runs), giving an effective cost of $0.6253 per 1M input + output tokens. That places it #16 of 117 models on the effective-cost ranking (lower is cheaper). Some models spend far more tokens than others on the same task, so effective cost compares what a unit of work really costs. Method details are on the methodology page; see all models on the cost charts and the falling cost of intelligence over time.
Cheaper Alternatives at Similar Capability
Models with a lower effective cost that score within a few IQ points of Mistral Large 3 (IQ 85), or better.
| Model | Provider | IQ | Effective Cost / 1M |
|---|---|---|---|
| gemma-4-31b | 101 | $0.3359 | |
| gemini-3.1-flash-lite | 101 | $0.5906 | |
| gpt-oss-20b | OpenAI | 100 | $0.1937 |
| gemma-4-12b | 98 | $0.2859 | |
| nemotron-3-nano | US (Other) | 96 | $0.2732 |
| gpt-5-nano | OpenAI | 96 | $0.303 |