Gemini 2.5 Flash vs Llama 3.2 1B
Gemini 2.5 Flash (2025) and Llama 3.2 1B (2024) are compact production models from Google DeepMind and AI at Meta. Gemini 2.5 Flash ships a 1M-token context window, while Llama 3.2 1B ships a 128K-token context window. On HumanEval, Gemini 2.5 Flash leads by 62.0 pts. On pricing, Llama 3.2 1B costs $0.1/1M input tokens versus $0.15/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Llama 3.2 1B is ~50% cheaper at $0.1/1M; pay for Gemini 2.5 Flash only for coding workflow support.
Specs
| Released | 2025-06-17 | 2024-09-25 |
| Context window | 1M | 128K |
| Parameters | — | 1.23B |
| Architecture | decoder only | decoder only |
| License | Proprietary | Open Source |
| Knowledge cutoff | 2025-01 | 2023-12 |
Pricing and availability
| Gemini 2.5 Flash | Llama 3.2 1B | |
|---|---|---|
| Input price | $0.15/1M tokens | $0.1/1M tokens |
| Output price | $0.6/1M tokens | $0.1/1M tokens |
| Providers |
Capabilities
| Gemini 2.5 Flash | Llama 3.2 1B | |
|---|---|---|
| Vision | ||
| Multimodal | ||
| Reasoning | ||
| Function calling | ||
| Tool use | ||
| Structured outputs | ||
| Code execution |
Benchmarks
| Benchmark | Gemini 2.5 Flash | Llama 3.2 1B |
|---|---|---|
| HumanEval | 90.1 | 28.1 |
Deep dive
On shared benchmark coverage, HumanEval has Gemini 2.5 Flash at 90.1 and Llama 3.2 1B at 28.1, with Gemini 2.5 Flash ahead by 62.0 points. The largest visible gap is 62.0 points on HumanEval, 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, multimodal input: Gemini 2.5 Flash, function calling: Gemini 2.5 Flash, tool use: Gemini 2.5 Flash, structured outputs: Gemini 2.5 Flash, and code execution: Gemini 2.5 Flash. Both models share the core language-model surface, 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 $0.15/1M input and $0.6/1M output tokens, while Llama 3.2 1B lists $0.1/1M input and $0.1/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 3.2 1B lower by about $0.18 per million blended tokens. Availability is 4 providers versus 1, so concentration risk also matters.
Choose Gemini 2.5 Flash when coding workflow support, larger context windows, and broader provider choice are central to the workload. Choose Llama 3.2 1B 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 has a larger context window, Gemini 2.5 Flash or Llama 3.2 1B?
Gemini 2.5 Flash supports 1M tokens, while Llama 3.2 1B supports 128K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Gemini 2.5 Flash or Llama 3.2 1B?
Llama 3.2 1B is cheaper on tracked token pricing. Gemini 2.5 Flash costs $0.15/1M input and $0.6/1M output tokens. Llama 3.2 1B costs $0.1/1M input and $0.1/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Gemini 2.5 Flash or Llama 3.2 1B open source?
Gemini 2.5 Flash is listed under Proprietary. Llama 3.2 1B is listed under Open Source. 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 3.2 1B?
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 3.2 1B?
Gemini 2.5 Flash has the clearer documented multimodal input signal in this comparison. If multimodal input 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 3.2 1B?
Gemini 2.5 Flash is available on Google AI Studio, GCP Vertex AI, Replicate API, and OpenRouter. Llama 3.2 1B is available on Fireworks AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.