Meta Llama 3.1.8 B Instruct Turbo pricing
Source: litellm · updated 2026-10-27
Short answer: Meta Llama 3.1.8 B Instruct Turbo costs $0.180 per million input tokens and $0.180 per million output tokens. That is a 3:1 blended rate of $0.180 per million tokens, ranking it #213 of 704 tracked models by input price.
Price breakdown
| Metric | USD |
|---|---|
| Input, per 1M tokens | $0.180 |
| Output, per 1M tokens | $0.180 |
| Output รท input multiple | 1.00× |
| 3:1 blended, per 1M tokens | $0.180 |
| Context window | 131,072 tokens |
What a typical workload costs
| Monthly volume | Input cost | Output cost | Total | 1M in / 250K out | $0.180 | $0.045 | $0.225 |
|---|---|---|---|---|---|---|---|
| 10M in / 2.5M out | $1.80 | $0.450 | $2.25 | ||||
| 100M in / 25M out | $18.00 | $4.50 | $22.50 |
Other together_ai models
| Model | Input | Output |
|---|---|---|
| Qwen 2 1.5 B Instruct | $0.020 | $0.020 |
| Trinity Mini | $0.045 | $0.150 |
| Nvidia Nemotron Nano 9 B | $0.060 | $0.250 |
| Qwen 2 1.5 B Instruct | $0.100 | $0.100 |
| Nvidia Nemotron 3.5 Super VL | $0.150 | $0.500 |
Compare against
- Meta Llama 3.1.8 B Instruct Turbo vs Qwen 3.6 Flash
- Meta Llama 3.1.8 B Instruct Turbo vs Us Gov Openai GPT OSS 120 B1.0
Cheaper alternatives
Next cheaper option: Seed 2.0 Mini at $0.100 per 1M input tokens. Next step up: Ternary Bonsai 2 27 B at $0.075 per 1M input tokens.