What Does Mistral Large Cost?
Mistral Large pricing: $2.00/$6.00 per 1M tokens (input/output). Context window: 128K. Best for European data residency, multilingual, coding.
Pricing Overview
| Metric | Value |
|---|---|
| Input price (per 1M tokens) | $2.00 |
| Output price (per 1M tokens) | $6.00 |
| Context window | 128K tokens |
| Speed (typical) | 70 tok/s |
| Provider | Mistral |
Cost for Common Tasks
| Task | Input Tokens | Output Tokens | Cost |
|---|---|---|---|
| 1-page summary | ~800 | ~400 | $0.0040 |
| 10K token conversation | ~8,000 | ~2,000 | $0.0280 |
| Batch of 1,000 API calls | ~500K | ~500K | $4.0000 |
Mistral Large vs Alternatives
| Model | Input (per 1M) | Output (per 1M) | Context | Speed | Quality |
|---|---|---|---|---|---|
| Mistral Large | $2.00 | $6.00 | 128K | 70 tok/s | 84/100 |
| Llama 3 405B | Self-host | Self-host | 128K | 25 tok/s | 86/100 |
| DeepSeek V3 | $0.27 | $1.10 | 128K | 60 tok/s | 82/100 |
| Gemini 2.0 Pro | $1.25 | $5.00 | 1M | 100 tok/s | 87/100 |
When to Use Mistral Large
- Best for: European data residency, multilingual, coding
- Context window: 128K tokens — handles most documents and conversations
- Speed: 70 tok/s — good for interactive use
- Quality: 84/100 — strong, suitable for most tasks
API Code Example with Cost Calculation
from mistralai import Mistral
client = Mistral(api_key="your-api-key")
response = client.chat.complete(
model="mistral-large-latest",
messages=[{"role": "user", "content": "Summarize this document..."}]
)
# Cost calculation
usage = response.usage
cost = (usage.prompt_tokens / 1_000_000) * 2 + (usage.completion_tokens / 1_000_000) * 6
print(f"Tokens: {usage.prompt_tokens} in / {usage.completion_tokens} out")
print(f"Cost: {cost:.6f}")
# Typical 1-page summary: ~$0.0040Monthly Cost Estimates
| Usage Level | Daily Tokens (in/out) | Monthly Cost |
|---|---|---|
| Light (personal project) | 50K / 25K | $7.50 |
| Medium (small SaaS) | 500K / 250K | $75.00 |
| Heavy (production app) | 5M / 2.5M | $750.00 |
FAQ
How much does Mistral Large cost per API call?
A typical Mistral Large API call with 1K input and 500 output tokens costs approximately $0.0050. Pricing is $2.00 per 1M input tokens and $6.00 per 1M output tokens.
Is Mistral Large worth the price?
Mistral Large scores approximately 84/100 on aggregate benchmarks. It is best suited for European data residency, multilingual, coding. At $2.00/$6.00 per 1M tokens, it offers competitive value for its quality tier.
What are cheaper alternatives to Mistral Large?
Top alternatives: Llama 3 405B (self-hosted), DeepSeek V3 at $0.27/$1.10, Gemini 2.0 Pro at $1.25/$5.00. Use KickLLM's calculator to compare costs for your specific workload.
Prices last verified: April 2026. Pricing may change — always check provider websites for current rates.
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