MetaCodellama 70B
Codellama 70B is a Meta proprietary model. It is not yet ranked: no independent benchmark results so far, only pricing and metadata. At $1.23 per million tokens blended it is pricier than most ranked models.
- Blended price
- $1.23/M
- $0.700 in · $2.80 out
- Output speed
- –
- First answer
- –
- Context
- 16k
- Full answer
- –
- Cost per run
- –
- Released
- –
- date not published by our sources
No independent quality benchmark results yet — only pricing and metadata.
What a task costs
Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache. Reasoning tokens are not modelled.
| Workload | Tokens in / out | Cost | With caching | Time |
|---|---|---|---|---|
| Chat reply | 400 / 300 | $0.0011 | – | – |
| Summarize a 30-page report | 12,000 / 600 | $0.010 | – | – |
| Code edit | 6,000 / 1,500 | $0.0084 | – | – |
| Agentic coding session | 60,000 / 4,000 | $0.053 | – | – |
| Structured extraction | 2,000 / 200 | $0.0020 | – | – |
See also
Questions people ask
- Why does Codellama 70B have no BenchLeader Index score?
- The index needs at least five independent results across at least two categories; as of 25 Oct 2026 Codellama 70B has 0 that count. Launch-post scores are never used, so it is ranked once independent publishers have measured it.
- How much does Codellama 70B cost per 1M tokens?
- As of 25 Oct 2026, Codellama 70B costs $0.700 per 1M input tokens and $2.80 per 1M output tokens, $1.23 blended (three input tokens per output token).
Data as of 25 Oct 2026. Compare with another model.
Cite as: BenchLeader, “Codellama 70B: benchmarks, pricing, speed and rank”, data as of 25 Oct 2026, https://www.benchleader.com/models/codellama-70b.