Gemini Deep Research Preview vs Llama 3.1 70B Instruct
Gemini Deep Research Preview (2026) and Llama 3.1 70B Instruct (2024) are compact production models from Google DeepMind and AI at Meta. Gemini Deep Research Preview ships a 1m-token context window, while Llama 3.1 70B Instruct ships a 128k-token context window. On pricing, Llama 3.1 70B Instruct costs $0.40/1M input tokens versus $2/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Llama 3.1 70B Instruct is ~400% cheaper at $0.40/1M; pay for Gemini Deep Research Preview only for long-context analysis.
Decision scorecard
Local evidence first| Signal | Gemini Deep Research Preview | Llama 3.1 70B Instruct |
|---|---|---|
| Best for | multimodal apps, tool-calling agents, and long-context analysis | provider-routed production |
| Decision fit | RAG, Agents, and Long context | Coding, RAG, and Long context |
| Context window | 1m | 128k |
| Cheapest output | $12/1M tokens | $0.40/1M tokens |
| Provider routes | 1 tracked | 13 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Gemini Deep Research Preview has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Gemini Deep Research Preview uniquely exposes Vision, Multimodal, and Function calling in local model data.
- Local decision data tags Gemini Deep Research Preview for RAG, Agents, and Long context.
- Llama 3.1 70B Instruct has the lower cheapest tracked output price at $0.40/1M tokens.
- Llama 3.1 70B Instruct has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Llama 3.1 70B Instruct for Coding, RAG, and Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Gemini Deep Research Preview
$4,600
Cheapest tracked route/tier: Google AI Studio
Llama 3.1 70B Instruct
$420
Cheapest tracked route/tier: Hyperbolic AI Inference
Estimated monthly gap: $4,180. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for Gemini Deep Research Preview and Llama 3.1 70B Instruct; plan for SDK, billing, or endpoint changes.
- Llama 3.1 70B Instruct is $11.60/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision, Multimodal, and Function calling before moving production traffic.
- No overlapping tracked provider route is sourced for Llama 3.1 70B Instruct and Gemini Deep Research Preview; plan for SDK, billing, or endpoint changes.
- Gemini Deep Research Preview is $11.60/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Gemini Deep Research Preview adds Vision, Multimodal, and Function calling in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-04-21 | 2024-07-23 |
| Context window | 1m | 128k |
| Parameters | — | 70B |
| Architecture | Decoder Only | Decoder Only |
| License | Proprietary | Llama 3 Community |
| Openness | Proprietary | Open weights |
| Commercial use | Commercial use: conditional | Commercial use: conditional |
| Knowledge cutoff | 2025-01 | 2023-12 |
Pricing and availability
| Pricing attribute | Gemini Deep Research Preview | Llama 3.1 70B Instruct |
|---|---|---|
| Input price | $2/1M tokens | $0.40/1M tokens |
| Output price | $12/1M tokens | $0.40/1M tokens |
| Providers |
Capabilities
| Capability | Gemini Deep Research Preview | Llama 3.1 70B Instruct |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | No | No |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | Yes | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark scores are currently available for this pair.
Deep dive
The capability footprint differs most on vision: Gemini Deep Research Preview, multimodal input: Gemini Deep Research Preview, function calling: Gemini Deep Research Preview, and tool use: Gemini Deep Research Preview. 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 Deep Research Preview lists $2/1M input and $12/1M output tokens on the cheapest tracked provider, while Llama 3.1 70B Instruct lists $0.40/1M input and $0.40/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 3.1 70B Instruct lower by about $4.60 per million blended tokens. Availability is 1 providers versus 13, so concentration risk also matters.
Choose Gemini Deep Research Preview when long-context analysis and larger context windows are central to the workload. Choose Llama 3.1 70B Instruct when provider fit, lower input-token cost, 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 Deep Research Preview or Llama 3.1 70B Instruct?
Gemini Deep Research Preview 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 Deep Research Preview or Llama 3.1 70B Instruct?
Llama 3.1 70B Instruct is cheaper on tracked token pricing. Gemini Deep Research Preview costs $2/1M input and $12/1M output tokens. Llama 3.1 70B Instruct costs $0.40/1M input and $0.40/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Gemini Deep Research Preview or Llama 3.1 70B Instruct open source?
Gemini Deep Research Preview is listed under Proprietary. Llama 3.1 70B Instruct is listed under Llama 3 Community. 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 Deep Research Preview or Llama 3.1 70B Instruct?
Gemini Deep Research Preview 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 Deep Research Preview or Llama 3.1 70B Instruct?
Gemini Deep Research Preview 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 Deep Research Preview and Llama 3.1 70B Instruct?
Gemini Deep Research Preview is available on Google AI Studio. Llama 3.1 70B Instruct is available on Cloudflare Workers AI, OctoAI API (Deprecated), Together AI, Fireworks AI, and NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.