Google: Gemini 2.5 Pro Preview 06-05 vs Meta: Llama 3.3 70B Instruct
Head-to-head API pricing and cost comparison between Google’s Google: Gemini 2.5 Pro Preview 06-05 and Meta’s Meta: Llama 3.3 70B Instruct. Prices auto-refresh daily from OpenRouter.
Meta: Llama 3.3 70B Instruct is 92% cheaper for input tokens; Meta: Llama 3.3 70B Instruct also wins on output tokens.
Side-by-side comparison
| Spec | Google: Gemini 2.5 Pro Preview 06-05 | Meta: Llama 3.3 70B Instruct |
|---|---|---|
| Input price (per 1M) | $1.25 | $0.10 |
| Cached input (per 1M) | $0.13 | — |
| Output price (per 1M) | $10.00 | $0.32 |
| Batch input (per 1M) | — | — |
| Batch output (per 1M) | — | — |
| Reasoning price (per 1M) | $10.00 | — |
| Context window | 1049K | 131K |
| Vision support | Yes | No |
| Caching support | Yes | No |
| Batch API | No | No |
| Reasoning capability | Yes | No |
Monthly cost at volume
Estimated monthly API spend at common production traffic levels (input/output tokens per request shown).
| Volume | Google: Gemini 2.5 Pro Preview 06-05 | Meta: Llama 3.3 70B Instruct | Savings |
|---|---|---|---|
1K req/day 500in / 200out tokens | $78.75 | $3.42 | $75.33 Meta: Llama 3.3 70B Instruct wins |
10K req/day 1500in / 500out tokens | $2,063 | $93.00 | $1,970 Meta: Llama 3.3 70B Instruct wins |
100K req/day 3000in / 800out tokens | $35,250 | $1,668 | $33,582 Meta: Llama 3.3 70B Instruct wins |
1M req/day 8000in / 2000out tokens | $900,000 | $43,200 | $856,800 Meta: Llama 3.3 70B Instruct wins |
Adjust input/output token counts, request volume, batch & cached pricing.
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Frequently asked questions
Which is cheaper, Google: Gemini 2.5 Pro Preview 06-05 or Meta: Llama 3.3 70B Instruct?
For input tokens, Meta: Llama 3.3 70B Instruct is roughly 92% cheaper at $0.10/1M vs $1.25/1M. For output tokens, Meta: Llama 3.3 70B Instruct wins at $0.32/1M. Real-world cost depends on your input/output ratio — use the calculator to model your actual workload.
What’s the context window difference?
Google: Gemini 2.5 Pro Preview 06-05 has a context window of 1049K tokens. Meta: Llama 3.3 70B Instruct offers 131K tokens. Larger context windows are valuable for long documents, RAG pipelines, and multi-turn conversations — but they come with higher input-token bills if you fill them every request.
Should I use Google: Gemini 2.5 Pro Preview 06-05 or Meta: Llama 3.3 70B Instruct?
Choose Google: Gemini 2.5 Pro Preview 06-05 if you’re already on the Google stack, want reasoning capabilities, or prefer its feature set. Choose Meta: Llama 3.3 70B Instruct for Meta’s ecosystem, or its cheaper input tokens. Run a small benchmark on your own prompts before committing — price is only one axis.
How are these prices kept current?
Prices are pulled directly from OpenRouter’s public models API once every 24 hours via a Convex cron job, then normalized to per-1M-token figures. Last refresh: May 28, 2026.