Gemini 2.5 Flash vs Llama 4 Scout

Pricing math on a real workload

For a 10M-input / 2M-output token job, Gemini 2.5 Flash costs $8.00 total on OpenKey, and Llama 4 Scout costs $1.60 — a 5x difference on this workload. That tracks the raw per-token rates: Flash is $0.30/M input and $2.50/M output from Google, landing at $0.309/M and $2.575/M on OpenKey after the 3% fee ($0.30 x 1.03 = $0.309, $2.50 x 1.03 = $2.575). Scout is $0.10/M input and $0.30/M output from Meta, landing at $0.103/M and $0.309/M on OpenKey ($0.10 x 1.03 = $0.103, $0.30 x 1.03 = $0.309). The input price ratio is 3.0x in Scout's favor before you even factor in output tokens, which is where Flash's cost really stacks up.

Coding and UI benchmarks

Design Arena scores are not close. Flash posts Elo 1153 (rank 69) on code categories, 1171 (rank 58) on data viz, 1148 (rank 63) on UI components, 1158 (rank 68) on website generation, and 1131 (rank 72) on game dev. Scout posts 839 (rank 106) on code categories, 940 (rank 96) on data viz, 824 (rank 100) on UI components, 793 (rank 112) on website generation, and 838 (rank 105) on game dev — a gap of 200 to 380+ Elo points in every shared category. Artificial Analysis separately scores Scout at an intelligence index of 10, a coding index of 8.2, and an agentic index of 1.1, which lines up with the Design Arena gap: Scout is not built to compete on coding quality.

Context window and long documents

Scout's context window is 10,000,000 tokens against Flash's 1,048,576 — Flash's window is about 0.1x the size of Scout's (a 10x gap). If you need to stuff an entire codebase, a long transcript library, or a multi-document corpus into one call, Scout is the only one of the two that fits it without chunking. Flash caps completion output at 65,535 tokens versus Scout's 16,384, so Flash can return longer single responses even though its input window is smaller. For retrieval-heavy or single-huge-document workloads, Scout's window is the deciding factor regardless of the quality gap elsewhere.

Modality and input types

Flash accepts text, image, file, audio, and video input and outputs text — it's the more complete multimodal option. Scout accepts text and image input only. If your pipeline needs to process audio transcripts, video frames, or arbitrary file uploads directly, Scout is not an option regardless of price. Flash also exposes `reasoning` and `include_reasoning` as supported parameters (marked non-mandatory), giving you a lever to trade latency for quality on harder prompts. Scout's parameter list leans toward classic sampling controls (`top_k`, `min_p`, `repetition_penalty`) with no reasoning toggle, consistent with its role as a fast, cheap generator rather than a deliberation-heavy model.

Questions

Which model is cheaper for high-volume workloads?

Llama 4 Scout, by a wide margin. On a 10M-input/2M-output token job it costs $1.60 total on OpenKey versus $8.00 for Gemini 2.5 Flash — a 5x difference driven mostly by Flash's $2.575/M output rate versus Scout's $0.309/M.

Which model has the bigger context window?

Llama 4 Scout, with a 10,000,000 token context window versus Gemini 2.5 Flash's 1,048,576 — roughly a 10x gap. Flash compensates somewhat with a larger max output of 65,535 tokens versus Scout's 16,384.

Does either model handle audio or video?

Only Gemini 2.5 Flash does. Its input modalities include text, image, file, audio, and video. Llama 4 Scout is limited to text and image input, so any audio/video pipeline has to use Flash.

Which model wins on coding benchmarks?

Gemini 2.5 Flash, decisively. On Design Arena's codecategories benchmark Flash scores Elo 1153 (rank 69) versus Scout's 839 (rank 106) — a gap over 300 Elo points that repeats across UI, website, and game dev categories.