Gemini 2.5 Flash vs Llama 4 Maverick 17B Instruct
Gemini 2.5 Flash (2025) and Llama 4 Maverick 17B Instruct (2026) 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 Maverick 17B Instruct ships a not-yet-sourced context window. On Chatbot Arena, Llama 4 Maverick 17B Instruct leads by 45 pts. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Llama 4 Maverick 17B Instruct is safer overall; choose Gemini 2.5 Flash when coding workflow support matters.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-06-17 | 2026-01-01 |
| Context window | 1M | — |
| Parameters | — | — |
| Architecture | decoder only | - |
| License | Proprietary | Proprietary |
| Knowledge cutoff | 2025-01 | - |
Pricing and availability
| Pricing attribute | Gemini 2.5 Flash | Llama 4 Maverick 17B Instruct |
|---|---|---|
| Input price | $0.3/1M tokens | $0.24/1M tokens |
| Output price | $2.5/1M tokens | $0.97/1M tokens |
| Providers |
Capabilities
| Capability | Gemini 2.5 Flash | Llama 4 Maverick 17B Instruct |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | Yes |
| Reasoning | No | No |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | Yes | Yes |
| Code execution | Yes | No |
Benchmarks
| Benchmark | Gemini 2.5 Flash | Llama 4 Maverick 17B Instruct |
|---|---|---|
| Chatbot Arena | 1320.0 | 1365.0 |
Deep dive
On shared benchmark coverage, Chatbot Arena has Gemini 2.5 Flash at 1320 and Llama 4 Maverick 17B Instruct at 1365, with Llama 4 Maverick 17B Instruct ahead by 45 points. The largest visible gap is 45 points on Chatbot Arena, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.
The capability footprint differs most on vision: Gemini 2.5 Flash, function calling: Gemini 2.5 Flash, tool use: Gemini 2.5 Flash, and code execution: Gemini 2.5 Flash. Both models share multimodal input and structured outputs, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
For cost, Gemini 2.5 Flash lists $0.3/1M input and $2.5/1M output tokens, while Llama 4 Maverick 17B Instruct lists $0.24/1M input and $0.97/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 4 Maverick 17B Instruct lower by about $0.5 per million blended tokens. Availability is 4 providers versus 1, so concentration risk also matters.
Choose Gemini 2.5 Flash when coding workflow support and broader provider choice are central to the workload. Choose Llama 4 Maverick 17B Instruct when provider fit and lower input-token cost are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.
FAQ
Which is cheaper, Gemini 2.5 Flash or Llama 4 Maverick 17B Instruct?
Llama 4 Maverick 17B Instruct is cheaper on tracked token pricing. Gemini 2.5 Flash costs $0.3/1M input and $2.5/1M output tokens. Llama 4 Maverick 17B Instruct costs $0.24/1M input and $0.97/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Gemini 2.5 Flash or Llama 4 Maverick 17B Instruct open source?
Gemini 2.5 Flash is listed under Proprietary. Llama 4 Maverick 17B Instruct is listed under Proprietary. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for vision, Gemini 2.5 Flash or Llama 4 Maverick 17B Instruct?
Gemini 2.5 Flash has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for multimodal input, Gemini 2.5 Flash or Llama 4 Maverick 17B Instruct?
Both Gemini 2.5 Flash and Llama 4 Maverick 17B Instruct expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Which is better for function calling, Gemini 2.5 Flash or Llama 4 Maverick 17B Instruct?
Gemini 2.5 Flash has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Gemini 2.5 Flash and Llama 4 Maverick 17B Instruct?
Gemini 2.5 Flash is available on Google AI Studio, GCP Vertex AI, Replicate API, and OpenRouter. Llama 4 Maverick 17B Instruct is available on AWS Bedrock. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.