Gemini 2.5 Flash vs Llama 4 Scout 17B-16E Instruct
Gemini 2.5 Flash (2025) and Llama 4 Scout 17B-16E Instruct (2025) are general-purpose language models from Google DeepMind and AI at Meta. Gemini 2.5 Flash ships a 1m-token context window, while Llama 4 Scout 17B-16E Instruct ships a 10m-token context window. On MMLU PRO, Gemini 2.5 Flash leads by 14.1 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Llama 4 Scout 17B-16E Instruct is ~275% cheaper at $0.08/1M; pay for Gemini 2.5 Flash only for coding workflow support.
Decision scorecard
Local evidence first| Signal | Gemini 2.5 Flash | Llama 4 Scout 17B-16E Instruct |
|---|---|---|
| Best for | multimodal apps, tool-calling agents, and long-context analysis | multimodal apps, long-context analysis, and provider-routed production |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 1m | 10m |
| Cheapest output | $2.50/1M tokens | $0.30/1M tokens |
| Provider routes | 6 tracked | 12 tracked |
| Shared benchmarks | MMLU PRO leader | 4 shared |
Decision tradeoffs
- Gemini 2.5 Flash holds a shared-benchmark lead on MMLU PRO, ahead by 14.1 points.
- Gemini 2.5 Flash uniquely exposes JSON / Tool use and Code execution in local model data.
- Local decision data tags Gemini 2.5 Flash for Coding, RAG, and Agents.
- Llama 4 Scout 17B-16E Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Llama 4 Scout 17B-16E Instruct has the lower cheapest tracked output price at $0.30/1M tokens.
- Llama 4 Scout 17B-16E Instruct has broader tracked provider coverage for fallback and route flexibility.
- Local decision data tags Llama 4 Scout 17B-16E Instruct for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Gemini 2.5 Flash
$865
Cheapest tracked route/tier: Google AI Studio
Llama 4 Scout 17B-16E Instruct
$139
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $726. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter, GCP Vertex AI, and Vercel AI Gateway; start route-level A/B tests there.
- Llama 4 Scout 17B-16E Instruct is $2.20/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for JSON / Tool use and Code execution before moving production traffic.
- Provider overlap exists on GCP Vertex AI, OpenRouter, and Vercel AI Gateway; start route-level A/B tests there.
- Gemini 2.5 Flash is $2.20/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Gemini 2.5 Flash adds JSON / Tool use and Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-06-17 | 2025-04-05 |
| Context window | 1m | 10m |
| Parameters | — | 109B (17B active) |
| Architecture | Decoder Only | Mixture of Experts |
| License | Proprietary | Llama 4 Community |
| Openness | Proprietary | Open weights |
| Weights | Not released | Unknown |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: conditional |
| Knowledge cutoff | 2025-01 | 2024-08 |
Pricing and availability
| Pricing attribute | Gemini 2.5 Flash | Llama 4 Scout 17B-16E Instruct |
|---|---|---|
| Input price | $0.30/1M tokens | $0.08/1M tokens |
| Output price | $2.50/1M tokens | $0.30/1M tokens |
| Providers |
Capabilities
| Capability | Gemini 2.5 Flash | Llama 4 Scout 17B-16E Instruct |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | No | No |
| JSON / Tool use | Yes | No |
| Structured outputs | Yes | Yes |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | Gemini 2.5 Flash | Llama 4 Scout 17B-16E Instruct |
|---|---|---|
| MMLU PRO | 88.4 | 74.3 |
| LiveCodeBench | 76.2 | 32.8 |
| Massive Multi-discipline Multimodal Understanding | 79.7 | 69.4 |
| Chatbot Arena | 1320.0 | 1295.0 |
Continue comparing
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Last reviewed: 2026-07-09. Data sourced from public model cards and provider documentation.