Gemini 2.5 Flash vs Llama 3.1 70B Instruct
Gemini 2.5 Flash (2025) and Llama 3.1 70B Instruct (2024) are compact production models from Google DeepMind and AI at Meta. Gemini 2.5 Flash ships a 1M-token context window, while Llama 3.1 70B Instruct ships a 128K-token context window. On HumanEval, Gemini 2.5 Flash leads by 6 pts. On pricing, Gemini 2.5 Flash costs $0.15/1M input tokens versus $0.4/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Gemini 2.5 Flash is ~167% cheaper at $0.15/1M; pay for Llama 3.1 70B Instruct only for provider fit.
Specs
| Released | 2025-06-17 | 2024-07-23 |
| Context window | 1M | 128K |
| Parameters | — | 70B |
| Architecture | decoder only | decoder only |
| License | Proprietary | Open Source |
| Knowledge cutoff | 2025-01 | - |
Pricing and availability
| Gemini 2.5 Flash | Llama 3.1 70B Instruct | |
|---|---|---|
| Input price | $0.15/1M tokens | $0.4/1M tokens |
| Output price | $0.6/1M tokens | $0.4/1M tokens |
| Providers |
Capabilities
| Gemini 2.5 Flash | Llama 3.1 70B Instruct | |
|---|---|---|
| Vision | ||
| Multimodal | ||
| Reasoning | ||
| Function calling | ||
| Tool use | ||
| Structured outputs | ||
| Code execution |
Benchmarks
| Benchmark | Gemini 2.5 Flash | Llama 3.1 70B Instruct |
|---|---|---|
| HumanEval | 90.1 | 84.1 |
Deep dive
On shared benchmark coverage, HumanEval has Gemini 2.5 Flash at 90.1 and Llama 3.1 70B Instruct at 84.1, with Gemini 2.5 Flash ahead by 6 points. The largest visible gap is 6 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, and code execution: Gemini 2.5 Flash. Both models share 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 $0.15/1M input and $0.6/1M output tokens, while Llama 3.1 70B Instruct lists $0.4/1M input and $0.4/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Gemini 2.5 Flash lower by about $0.11 per million blended tokens. Availability is 4 providers versus 11, so concentration risk also matters.
Choose Gemini 2.5 Flash when coding workflow support, larger context windows, and lower input-token cost are central to the workload. Choose Llama 3.1 70B Instruct when provider fit and broader provider choice 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 3.1 70B Instruct?
Gemini 2.5 Flash supports 1M tokens, while Llama 3.1 70B Instruct 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 3.1 70B Instruct?
Gemini 2.5 Flash is cheaper on tracked token pricing. Gemini 2.5 Flash costs $0.15/1M input and $0.6/1M output tokens. Llama 3.1 70B Instruct costs $0.4/1M input and $0.4/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Gemini 2.5 Flash or Llama 3.1 70B Instruct open source?
Gemini 2.5 Flash is listed under Proprietary. Llama 3.1 70B Instruct 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 3.1 70B 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 3.1 70B Instruct?
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 3.1 70B Instruct?
Gemini 2.5 Flash is available on Google AI Studio, GCP Vertex AI, Replicate API, and OpenRouter. Llama 3.1 70B Instruct is available on OctoAI API, Together AI, Fireworks AI, NVIDIA NIM, and Microsoft Foundry. 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.