Llama 3.1 8B vs Mixtral 8x7B Instruct
Side-by-side API pricing comparison · Meta vs Mistral
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Llama 3.1 8B is 730.8% cheaper on blended cost ($0.065 vs $0.540/Mtok)
Llama 3.1 8B
by Meta
Current open weights Open weightsInput
$0.050/Mtok
Output
$0.080/Mtok
✓ Cheaper
| Blended avg | $0.065/Mtok |
|---|---|
| Context | 128K tokens |
| Modality | text |
| Parameters | 8B |
| Released | Jul 23, 2024 |
Mixtral 8x7B Instruct
by Mistral
Current open weights Open weightsInput
$0.540/Mtok
Output
$0.540/Mtok
| Blended avg | $0.540/Mtok |
|---|---|
| Context | 32K tokens |
| Modality | text |
| Parameters | 46.7B (8x7B MoE) |
| Released | Jul 1, 2024 |
Cost at scale — 1M tokens (50/50 input/output)
| Volume | Llama 3.1 8B | Mixtral 8x7B Instruct | Savings |
|---|---|---|---|
| 1M tokens | $0.07 | $0.54 | $0.48 (88.9%) |
| 10M tokens | $0.65 | $5.4 | $4.75 (88%) |
| 100M tokens | $6.5 | $54 | $47.5 (88%) |
| 1000M tokens | $65 | $540 | $475 (88%) |
Summary
Llama 3.1 8B by Meta costs $0.050/Mtok input and $0.080/Mtok output, with a 128K-token context window. It supports text input.
Mixtral 8x7B Instruct by Mistral costs $0.540/Mtok input and $0.540/Mtok output, with a 32K-token context window. It supports text input.
On a blended cost basis, Llama 3.1 8B is 730.8% cheaper than Mixtral 8x7B Instruct. It also has a larger context window.
Note: Pricing is per million tokens. Actual costs vary with usage patterns, prompt caching, and batch discounts. Always verify against official provider pricing pages.