Mistral — pricing & performance
Models served
17
of 947 tracked models
Mean output speed
54
tokens per second, averaged over
17 measured endpoints
17 measured endpoints
Mean latency
0.4s
time to first token, averaged over
17 measured endpoints
17 measured endpoints
Cheapest blended
$0.10
per 1M tokens at a 3:1
input:output blend
input:output blend
Output speed on Mistral
Median output tokens per second for all 17 models on Mistral with published throughput telemetry from OpenRouter. Higher is better. We do not run these measurements ourselves.
The Known Good
17 models on Mistral
Full leaderboard →
| Model | Creator | Input $/M | Output $/M | Blended | Speed | TTFT | Context |
|---|---|---|---|---|---|---|---|
|
|
Mistral | $2.00 | $6.00 | $3.00 | 33 | 0.5s | 128k |
|
|
Mistral | $2.00 | $6.00 | $3.00 | 24 | 0.6s | 131k |
|
|
Mistral | $0.30 | $0.90 | $0.45 | 43 | 0.3s | 256k |
|
|
Mistral | $0.40 | $2.00 | $0.80 | 7 | 0.4s | 262k |
|
|
Mistral | $0.20 | $0.20 | $0.20 | 52 | 0.3s | 262k |
|
|
Mistral | $0.10 | $0.10 | $0.10 | 47 | 0.3s | 131k |
|
|
Mistral | $0.15 | $0.15 | $0.15 | 42 | 0.3s | 262k |
|
|
Mistral | $0.50 | $1.50 | $0.75 | 45 | 0.5s | 262k |
|
|
Mistral | $0.40 | $2.00 | $0.80 | 42 | 0.5s | 131k |
|
|
Mistral | $0.40 | $2.00 | $0.80 | 45 | 0.3s | 131k |
|
|
Mistral | $1.50 | $7.50 | $3.00 | 30 | 0.4s | 262k |
|
|
Mistral | $0.15 | $0.15 | $0.15 | 48 | 0.3s | 131k |
|
|
Mistral | $0.10 | $0.30 | $0.15 | 98 | 0.3s | 131k |
|
|
Mistral | $0.15 | $0.60 | $0.26 | 120 | 0.4s | 262k |
|
|
Mistral | $2.00 | $6.00 | $3.00 | 76 | 0.5s | 66k |
|
|
Mistral | $0.20 | $0.60 | $0.30 | 42 | 0.4s | 33k |
|
|
Mistral | $0.10 | $0.30 | $0.15 | 131 | 0.4s | 32k |
The Known Good
Source. Prices, endpoint availability and throughput for Mistral are ingested from OpenRouter;
model metadata is enriched from models.dev. A blank cell means the figure was not published for that endpoint —
it never means zero. Blended price is (3 × input + output) ÷ 4, the same 3:1 blend used everywhere on this
site; see methodology. Quality scores are not provider-specific:
a model scores the same wherever it is hosted, so quality lives on the
model pages.