Gemini 3.6 Flash vs Llama 4 Maverick
Google vs Meta · Prices checked 12 August 2026
On blended cost Llama 4 Maverick undercuts Gemini 3.6 Flash by about 10.3×: $0.320 per million tokens versus $3.30. A single 100K-input, 10K-output job costs $0.026 on Llama 4 Maverick against $0.225 on Gemini 3.6 Flash.
On context, Gemini 3.6 Flash is the larger at 1,050,000 tokens versus 128,000.
Pricing and capacity
| Metric | Gemini 3.6 Flash | Llama 4 Maverick | Difference |
|---|---|---|---|
| Input / 1M tokens | $1.50 | $0.200 | 7.5× |
| Output / 1M tokens | $7.50 | $0.600 | 12.5× |
| Blended · 70/30calculated | $3.30 | $0.320 | 10.3× |
| Blended · 50/50calculated | $4.50 | $0.400 | 11.3× |
| Blended · 80/20calculated | $2.70 | $0.280 | 9.6× |
| Blended · 20/80calculated | $6.30 | $0.520 | 12.1× |
| Job cost · 100K + 10Kcalculated | $0.225 | $0.026 | 8.7× |
| Job cost · 1M + 100Kcalculated | $2.25 | $0.260 | 8.7× |
| Context window | 1,050,000 | 128,000 | 8.2× |
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.
Benchmarks
These two models do not currently report scores on any of the same benchmark suites, so there is no like-for-like capability comparison to show. Rather than pad the page with one-sided numbers, the benchmark leaderboards list every score we do hold.
What each model is for
Gemini 3.6 Flash
Google · Balanced
Google's current workhorse model, released July 2026 as the practical successor to 3.5 Flash rather than the long-delayed 3.5 Pro. It improves on coding, knowledge work and multimodal handling while reducing token usage by up to 17%, which makes it cheaper to run than its predecessor on the same task even before the headline rate is compared.
- Up to 17% fewer tokens per task than 3.5 Flash
- Coding and knowledge work
- Multimodal input including audio and video
- 1M-token context
Llama 4 Maverick
Meta · Frontier
The flagship Llama 4, an MoE-architecture model designed for cheap, high-throughput inference across the open-weights ecosystem.
- MoE for cheap inference
- Open weights
- Wide hosted availability
- Multimodal
Frequently asked questions
Which is cheaper, Gemini 3.6 Flash or Llama 4 Maverick?
On blended cost Llama 4 Maverick undercuts Gemini 3.6 Flash by about 10.3×: $0.320 per million tokens versus $3.30. A single 100K-input, 10K-output job costs $0.026 on Llama 4 Maverick against $0.225 on Gemini 3.6 Flash. 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 has the larger context window, Gemini 3.6 Flash or Llama 4 Maverick?
On context, Gemini 3.6 Flash is the larger at 1,050,000 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 3.6 Flash and Llama 4 Maverick 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 12 August 2026.