Voxtral Realtime Mistral AI
💰 Total Cost Calculation (from Plugin)
Output: $0.002000
Output: $0.002000
Unit: $0.000000
Fees: $0.000000
Detailed Cost Analysis (from Plugin)
For 2,000 input tokens and 1,000 output tokens:
- Input Cost: $0.001000
- Output Cost: $0.002000
- Total Cost: $0.003000
- Cost per 1K tokens: $0.001000
- Tokens per dollar: 1,000,000 tokens
- Context Window: 256000 tokens
Speed & Performance Analysis
With a processing speed of 500 tokens per second and 200ms time to first token:
- Processing Time: 6.48 seconds
- Latency: 200 milliseconds to first token
- Base Throughput: 500 tokens/second
- Effective Throughput: 476 tokens/second (temperature-adjusted)
Best Use Cases
Want this applied to YOUR actual stack?
This calculator shows the math for Voxtral Realtime. Your decision needs more — current infrastructure, compliance requirements, actual workload patterns, volume tiers — that change which model is right for you.
Get a $39 personalized AI Architecture Audit. PDF tailored to your stack, delivered in under 60 seconds. 7-day no-questions-asked refund.
Get my instant AI audit — $39 →✨ Market Recommendations AI Model Registry
← Back to Voxtral Realtime| Rank | AI Model & Provider | Total Cost | vs Voxtral Realtime |
|---|---|---|---|
| 🏆 |
Gemini 3.1 Flash Lite
Google
|
$0.290000 Best Value | ↑ 9566.7% more |
| 🥈 |
Gemini 2.5 Flash
Google
|
$0.348700 (rounded ~ $0.35) | ↑ 11523.3% more |
| 🥉 |
Gemini 3.1 Flash
Google
|
$1.160000 | ↑ 38566.7% more |
| #4 |
Grok 4.3
xAI
|
$1.445000 (rounded ~ $1.45) | ↑ 48066.7% more |
| #5 |
Gemini 3.5 Flash
Google
|
$1.740000 | ↑ 57900% more |
| #6 |
Gemini 2.5 Pro
Google
|
$2.900000 | ↑ 96566.7% more |
| #7 |
Gemini 2.5 Pro
Google
|
$2.900000 | ↑ 96566.7% more |
Gemini 3.1 Flash Lite Google
Gemini 2.5 Flash Google
Gemini 3.1 Flash Google
Grok 4.3 xAI
Gemini 3.5 Flash Google
Gemini 2.5 Pro Google
Gemini 2.5 Pro Google
Native Audio Low-Latency Agents
Mistral’s Voxtral Realtime is designed for sub-200ms TTFT in voice conversations. Calculate the cost of 24/7 customer support automation using native audio tokens.