Gemini 2.0 Flash vs Llama 3.3 70B
Google vs Meta · Prices checked November 11, 2026
The two are closer than they look: Gemini 2.0 Flash at $0.1900 per million tokens blended, Llama 3.3 70B at $0.2810, a 32 per cent difference. A single 100K-input, 10K-output job costs $0.0140 on Gemini 2.0 Flash against $0.0270 on Llama 3.3 70B.
Pricing and capacity
RatesUSD per million tokens. Prices checked November 11, 2026.
| Metric | Gemini 2.0 Flash | Llama 3.3 70B | Difference |
|---|---|---|---|
| Input / 1M tokens | $0.1000 | $0.2300 | 2.3× |
| Output / 1M tokens | $0.4000 | $0.4000 | level |
| Blended · 70/30calculated | $0.1900 | $0.2810 | 32% |
| Blended · 50/50calculated | $0.2500 | $0.3150 | 21% |
| Blended · 80/20calculated | $0.1600 | $0.2640 | 39% |
| Blended · 20/80calculated | $0.3400 | $0.3660 | 7% |
| Job cost · 100K + 10Kcalculated | $0.0140 | $0.0270 | 48% |
| Job cost · 1M + 100Kcalculated | $0.1400 | $0.2700 | 48% |
| Context window | 1,000,000 | 128,000 | 7.8× |
Input and output rates are as published by each provider. Blended and job-cost rows are calculated comparison metrics, not published prices — how they are derived.
Of the 5 shared benchmarks, Gemini 2.0 Flash takes 3. The widest gap is on LMArena Elo, where Gemini 2.0 Flash leads by 42 points. On context, Gemini 2.0 Flash is the larger at 1,000,000 tokens versus 128,000.
Benchmarks
| Benchmark | Gemini 2.0 Flash | Llama 3.3 70B | Leader |
|---|---|---|---|
| MMLU | 78% | 86% | Llama 3.3 70B |
| GPQA Diamond | 65.2% | 50.5% | Gemini 2.0 Flash |
| MATH | 80% | 77% | Gemini 2.0 Flash |
| HumanEval | 82% | 88.4% | Llama 3.3 70B |
| LMArena Elo | 1360 Elo | 1318 Elo | Gemini 2.0 Flash |
Only suites both models report are listed, so a missing score is never shown as a loss. Figures are provider-published or from public leaderboards and are not independently re-run.
What each model is for
Gemini 2.0 Flash
Google · Efficient
Previous-generation Flash, still widely deployed. Strong default for cheap multimodal traffic.
- Cheap multimodal
- 1M context
- Wide availability
Llama 3.3 70B
Meta · Open
The most-deployed open-weights chat model in 2025, strong reasoning at 70B with broad inference-provider support.
- Strong open chat baseline
- Cheap on Groq/Cerebras
- 128K context
- Wide ecosystem
Frequently asked questions
Which is cheaper, Gemini 2.0 Flash or Llama 3.3 70B?
The two are closer than they look: Gemini 2.0 Flash at $0.1900 per million tokens blended, Llama 3.3 70B at $0.2810, a 32 per cent difference. A single 100K-input, 10K-output job costs $0.0140 on Gemini 2.0 Flash against $0.0270 on Llama 3.3 70B. Blended cost weights input at 70% and output at 30%; price your own token split for an exact answer, since the cheaper model on a blended basis is not always cheaper for your workload.
Which performs better, Gemini 2.0 Flash or Llama 3.3 70B?
Of the 5 shared benchmarks, Gemini 2.0 Flash takes 3. The widest gap is on LMArena Elo, where Gemini 2.0 Flash leads by 42 points. These are the figures each provider or public leaderboard publishes, not results we re-run, and a benchmark average can hide the specific behaviour your workload depends on.
Which has the larger context window, Gemini 2.0 Flash or Llama 3.3 70B?
On context, Gemini 2.0 Flash is the larger at 1,000,000 tokens versus 128,000. The context window caps everything in a single request: prompt, retrieved documents, conversation history and the model’s own output all share it.
Can I compare Gemini 2.0 Flash and Llama 3.3 70B on my own numbers?
Yes. Open both in the side-by-side comparison tool to see every field at once, or use the token calculator to price your actual prompt and monthly request volume against each model. Both are free and need no sign-up.
Price it for your own workload
Related matchups
Terms used on this page
Prices and scores are recomputed on every deploy from the catalogue. Prices checked November 11, 2026.