Live pricing — last refreshed May 28, 2026

Google: Gemini 3 Flash Preview vs Meta: Llama 3.3 70B Instruct

Head-to-head API pricing and cost comparison between Google’s Google: Gemini 3 Flash Preview and Meta’s Meta: Llama 3.3 70B Instruct. Prices auto-refresh daily from OpenRouter.

Verdict

Meta: Llama 3.3 70B Instruct is 80% cheaper for input tokens; Meta: Llama 3.3 70B Instruct also wins on output tokens.

Side-by-side comparison

SpecGoogle: Gemini 3 Flash PreviewMeta: Llama 3.3 70B Instruct
Input price (per 1M)$0.50$0.10
Cached input (per 1M)$0.05
Output price (per 1M)$3.00$0.32
Batch input (per 1M)
Batch output (per 1M)
Reasoning price (per 1M)$3.00
Context window1049K131K
Vision supportYesNo
Caching supportYesNo
Batch APINoNo
Reasoning capabilityYesNo

Monthly cost at volume

Estimated monthly API spend at common production traffic levels (input/output tokens per request shown).

VolumeGoogle: Gemini 3 Flash PreviewMeta: Llama 3.3 70B InstructSavings
1K req/day
500in / 200out tokens
$25.50$3.42$22.08
Meta: Llama 3.3 70B Instruct wins
10K req/day
1500in / 500out tokens
$675.00$93.00$582.00
Meta: Llama 3.3 70B Instruct wins
100K req/day
3000in / 800out tokens
$11,700$1,668$10,032
Meta: Llama 3.3 70B Instruct wins
1M req/day
8000in / 2000out tokens
$300,000$43,200$256,800
Meta: Llama 3.3 70B Instruct wins
Open in interactive calculator →

Adjust input/output token counts, request volume, batch & cached pricing.

Related comparisons

Frequently asked questions

Which is cheaper, Google: Gemini 3 Flash Preview or Meta: Llama 3.3 70B Instruct?

For input tokens, Meta: Llama 3.3 70B Instruct is roughly 80% cheaper at $0.10/1M vs $0.50/1M. 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 3 Flash Preview 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 3 Flash Preview or Meta: Llama 3.3 70B Instruct?

Choose Google: Gemini 3 Flash Preview 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.