Claude Fable 5$22.000/MClaude Opus 5$11.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.6 Sol$12.500/MGPT-5.6 Terra$5.000/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/MClaude Fable 5$22.000/MClaude Opus 5$11.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.6 Sol$12.500/MGPT-5.6 Terra$5.000/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/M

Gemini 2.0 Flash vs Llama 4 Scout

Google vs Meta · Prices checked 12 August 2026

Llama 4 Scout is 8 per cent cheaper on blended cost, $0.175 per million tokens against $0.190. A single 100K-input, 10K-output job costs $0.014 on Llama 4 Scout against $0.014 on Gemini 2.0 Flash.

Gemini 2.0 Flash leads on 3 of the 5 benchmarks both models report. The widest gap is on GPQA Diamond, where Gemini 2.0 Flash leads by 5 points. 1 suite tied. Gemini 2.0 Flash takes a 1,000,000-token context window against 512,000, giving a modest edge for long documents or whole-codebase work.

Pricing and capacity

Published token pricing and context window for Gemini 2.0 Flash and Llama 4 Scout
MetricGemini 2.0 FlashLlama 4 ScoutDifference
Input / 1M tokens$0.100$0.100level
Output / 1M tokens$0.400$0.35013%
Blended · 70/30calculated$0.190$0.1758%
Blended · 50/50calculated$0.250$0.22510%
Blended · 80/20calculated$0.160$0.1506%
Blended · 20/80calculated$0.340$0.30012%
Job cost · 100K + 10Kcalculated$0.014$0.0144%
Job cost · 1M + 100Kcalculated$0.140$0.1354%
Context window1,000,000512,00049%

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

Benchmark scores both Gemini 2.0 Flash and Llama 4 Scout report
BenchmarkGemini 2.0 FlashLlama 4 ScoutLeader
MMLU78%80%Llama 4 Scout
GPQA Diamond62%57%Gemini 2.0 Flash
MATH80%78%Gemini 2.0 Flash
HumanEval82%82%Level
LMArena Elo1270 Elo1265 EloGemini 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 4 Scout

Meta · Efficient

Long-context Llama 4 with a 512K window, the open-weights answer to long-document workloads.

  • 512K context
  • Open weights
  • MoE efficiency

Frequently asked questions

Which is cheaper, Gemini 2.0 Flash or Llama 4 Scout?

Llama 4 Scout is 8 per cent cheaper on blended cost, $0.175 per million tokens against $0.190. A single 100K-input, 10K-output job costs $0.014 on Llama 4 Scout against $0.014 on Gemini 2.0 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 performs better, Gemini 2.0 Flash or Llama 4 Scout?

Gemini 2.0 Flash leads on 3 of the 5 benchmarks both models report. The widest gap is on GPQA Diamond, where Gemini 2.0 Flash leads by 5 points. 1 suite tied. 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 4 Scout?

Gemini 2.0 Flash takes a 1,000,000-token context window against 512,000, giving a modest edge for long documents or whole-codebase work. 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 4 Scout 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.