Claude vs Llama (Groq): which should you use?
A side-by-side look at Claude and Llama (Groq) — context window, price per million tokens, and what each one is actually better at. In Blend you can use both and switch mid-conversation.
Model data updated: 2026-08-16
Short answer
Neither wins every task. Claude and Llama (Groq) each have questions they answer better, which is why picking one for everything costs you quality. Blend routes each question to whichever fits, so you do not have to decide up front.
- Llama 3.3 70B is the cheaper of the two on input tokens ($0.59 per 1M).
| Representative model | Provider | Context | Input | Output | Images |
|---|---|---|---|---|---|
| Claude — Claude Opus 5 | Anthropic | 128K | $15 | $75 | Yes |
| Llama (Groq) — Llama 3.3 70B | Meta / Groq | 128K | $0.59 | $0.79 | — |
Input / Output: per 1M tokens. Prices are the providers’ list prices in USD per million tokens and can change at any time. Use them for comparison, not billing.
What Claude is good at
Favoured for long documents, careful reasoning and natural writing, with very large context windows.
- Handles very long documents in one pass
- Natural, low-cliché writing style
- Careful step-by-step reasoning and coding
What Llama (Groq) is good at
Open models served on Groq hardware — the fastest first-token latency available in Blend.
- Extremely fast first response
- Low cost for high volume
- Open models you can self-host elsewhere
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Related comparisons
Model capabilities and prices change often. Figures come from Blend’s automatically synced registry and are shown for comparison. All model prices