Llama 3.1 8B Instruct vs Gemini 1.5 Flash on Google Vertex AI
Llama 3.1 8B Instruct (2024) and Gemini 1.5 Flash on Google Vertex AI (2024) are compact production models from AI at Meta and Google DeepMind. Llama 3.1 8B Instruct ships a 128K-token context window, while Gemini 1.5 Flash on Google Vertex AI ships a 1M-token context window. On pricing, Llama 3.1 8B Instruct costs $0.02/1M input tokens versus $0.04/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Llama 3.1 8B Instruct is ~75% cheaper at $0.02/1M; pay for Gemini 1.5 Flash on Google Vertex AI only for long-context analysis.
Decision scorecard
Local evidence first| Signal | Llama 3.1 8B Instruct | Gemini 1.5 Flash on Google Vertex AI |
|---|---|---|
| Decision fit | RAG, Long context, and Classification | RAG, Long context, and Vision |
| Context window | 128K | 1M |
| Cheapest output | $0.05/1M tokens | $0.1/1M tokens |
| Provider routes | 12 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Llama 3.1 8B Instruct has the lower cheapest tracked output price at $0.05/1M tokens.
- Llama 3.1 8B Instruct has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Llama 3.1 8B Instruct for RAG, Long context, and Classification.
- Gemini 1.5 Flash on Google Vertex AI has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Gemini 1.5 Flash on Google Vertex AI uniquely exposes Vision and Multimodal in local model data.
- Local decision data tags Gemini 1.5 Flash on Google Vertex AI for RAG, Long context, and Vision.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
Llama 3.1 8B Instruct
$28.50
Cheapest tracked route: OpenRouter
Gemini 1.5 Flash on Google Vertex AI
$54.25
Cheapest tracked route: GCP Vertex AI
Estimated monthly gap: $25.75. Batch, cache, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for Llama 3.1 8B Instruct and Gemini 1.5 Flash on Google Vertex AI; plan for SDK, billing, or endpoint changes.
- Gemini 1.5 Flash on Google Vertex AI is $0.05/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Gemini 1.5 Flash on Google Vertex AI adds Vision and Multimodal in local capability data.
- No overlapping tracked provider route is sourced for Gemini 1.5 Flash on Google Vertex AI and Llama 3.1 8B Instruct; plan for SDK, billing, or endpoint changes.
- Llama 3.1 8B Instruct is $0.05/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision and Multimodal before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-07-23 | 2024-02-15 |
| Context window | 128K | 1M |
| Parameters | 8B | — |
| Architecture | decoder only | decoder only |
| License | Open Source | Proprietary |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Llama 3.1 8B Instruct | Gemini 1.5 Flash on Google Vertex AI |
|---|---|---|
| Input price | $0.02/1M tokens | $0.04/1M tokens |
| Output price | $0.05/1M tokens | $0.1/1M tokens |
| Providers |
Capabilities
| Capability | Llama 3.1 8B Instruct | Gemini 1.5 Flash on Google Vertex AI |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | Yes | Yes |
| Code execution | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: Gemini 1.5 Flash on Google Vertex AI and multimodal input: Gemini 1.5 Flash on Google Vertex AI. 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, Llama 3.1 8B Instruct lists $0.02/1M input and $0.05/1M output tokens, while Gemini 1.5 Flash on Google Vertex AI lists $0.04/1M input and $0.1/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 3.1 8B Instruct lower by about $0.03 per million blended tokens. Availability is 12 providers versus 1, so concentration risk also matters.
Choose Llama 3.1 8B Instruct when provider fit, lower input-token cost, and broader provider choice are central to the workload. Choose Gemini 1.5 Flash on Google Vertex AI when long-context analysis and larger context windows are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions.
FAQ
Which has a larger context window, Llama 3.1 8B Instruct or Gemini 1.5 Flash on Google Vertex AI?
Gemini 1.5 Flash on Google Vertex AI supports 1M tokens, while Llama 3.1 8B 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, Llama 3.1 8B Instruct or Gemini 1.5 Flash on Google Vertex AI?
Llama 3.1 8B Instruct is cheaper on tracked token pricing. Llama 3.1 8B Instruct costs $0.02/1M input and $0.05/1M output tokens. Gemini 1.5 Flash on Google Vertex AI costs $0.04/1M input and $0.1/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Llama 3.1 8B Instruct or Gemini 1.5 Flash on Google Vertex AI open source?
Llama 3.1 8B Instruct is listed under Open Source. Gemini 1.5 Flash on Google Vertex AI 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, Llama 3.1 8B Instruct or Gemini 1.5 Flash on Google Vertex AI?
Gemini 1.5 Flash on Google Vertex AI 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, Llama 3.1 8B Instruct or Gemini 1.5 Flash on Google Vertex AI?
Gemini 1.5 Flash on Google Vertex AI 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 Llama 3.1 8B Instruct and Gemini 1.5 Flash on Google Vertex AI?
Llama 3.1 8B Instruct is available on OctoAI API (Deprecated), Together AI, Fireworks AI, NVIDIA NIM, and GroqCloud. Gemini 1.5 Flash on Google Vertex AI is available on GCP Vertex AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-05-16. Data sourced from public model cards and provider documentation.