Gemini 2.5 Pro vs Llama 3.1 405B Instruct

Name: Gemini 2.5 Pro
Author: Google DeepMind

Gemini 2.5 Pro (2025) and Llama 3.1 405B Instruct (2024) are frontier reasoning models from Google DeepMind and AI at Meta. Gemini 2.5 Pro ships a 1m-token context window, while Llama 3.1 405B Instruct ships a 128k-token context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.

Gemini 2.5 Pro fits 8x more tokens; pick it for long-context work and Llama 3.1 405B Instruct for tighter calls.

Decision scorecard

Local evidence first

Signal	Gemini 2.5 Pro	Llama 3.1 405B Instruct	How to read it
Best for	reasoning-heavy apps, multimodal apps, and tool-calling agents	provider-routed production	Use-case synthesis from product type, capability flags, context, and provider data.
Decision fit	Coding, RAG, and Agents	RAG, Long context, and Classification	Primary workload tags from local decision data.
Context window	1m	128k	Higher is better when prompts, retrieval chunks, or transcripts are large.
Cheapest output	$10/1M tokens	$2.40/1M tokens	Cheapest tracked provider route; verify your exact region and tier.
Provider routes	4 tracked	11 tracked	Broader coverage can reduce vendor lock-in and fallback risk.
Shared benchmarks	0 shared	0 shared	No shared benchmark scores are available for this pair yet.

Decision tradeoffs

Choose Gemini 2.5 Pro when...

Gemini 2.5 Pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
Gemini 2.5 Pro uniquely exposes Vision, Multimodal, and Reasoning in local model data.
Local decision data tags Gemini 2.5 Pro for Coding, RAG, and Agents.

Choose Llama 3.1 405B Instruct when...

Llama 3.1 405B Instruct has the lower cheapest tracked output price at $2.40/1M tokens.
Llama 3.1 405B Instruct has broader tracked provider coverage for fallback and route flexibility.
Local decision data tags Llama 3.1 405B Instruct for RAG, Long context, and Classification.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output route or tier on this page.

Lower estimate Llama 3.1 405B Instruct

Requests / monthInput tokens / requestOutput tokens / request

Gemini 2.5 Pro

$3,500

Cheapest tracked route/tier: Google AI Studio <=200K tokens

Llama 3.1 405B Instruct

$2,520

Cheapest tracked route/tier: AWS Bedrock

Estimated monthly gap: $980. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

Gemini 2.5 Pro -> Llama 3.1 405B Instruct

Provider overlap exists on GCP Vertex AI; start route-level A/B tests there.
Llama 3.1 405B Instruct is $7.60/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
Check replacement coverage for Vision, Multimodal, and Reasoning before moving production traffic.

Llama 3.1 405B Instruct -> Gemini 2.5 Pro

Provider overlap exists on GCP Vertex AI; start route-level A/B tests there.
Gemini 2.5 Pro is $7.60/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
Gemini 2.5 Pro adds Vision, Multimodal, and Reasoning in local capability data.

Specs

Specification	Gemini 2.5 Pro Google DeepMind	Llama 3.1 405B Instruct AI at Meta
Released	2025-06-17	2024-07-23
Context window	1m	128k
Parameters	—	405B
Architecture	Decoder Only	Decoder Only
License	Proprietary	Llama 3 Community
Openness	Proprietary	Open weights
Weights	Not released	Available
Code	Unknown	Unknown
Commercial use	Commercial use: conditional	Commercial use: conditional
Knowledge cutoff	2025-01	2023-12

Pricing and availability

Pricing attribute	Gemini 2.5 Pro	Llama 3.1 405B Instruct
Input price	<=200K tokens $1.25/1M tokens Standard Gemini 2.5 Pro pricing for prompts up to 200K tokens. >200K tokens $2.50/1M tokens Higher Gemini 2.5 Pro tier for prompts above 200K tokens.	$2.40/1M tokens
Output price	<=200K tokens $10/1M tokens Standard Gemini 2.5 Pro pricing for prompts up to 200K tokens. >200K tokens $15/1M tokens Higher Gemini 2.5 Pro tier for prompts above 200K tokens.	$2.40/1M tokens
Providers	Google AI Studio GCP Vertex AI OpenRouter Vercel AI Gateway	OctoAI API (Deprecated)Together AI Fireworks AI IBM watsonx Scale AI GenAI Platform NVIDIA NIM

Capabilities

Capability	Gemini 2.5 Pro	Llama 3.1 405B Instruct
Vision	Yes	No
Multimodal	Yes	No
Reasoning	Yes	No
JSON / Tool use	Yes	No
Structured outputs	Yes	Yes
Code execution	Yes	No
IDE integration	No	No
Computer use	No	No
Parallel agents	No	No

Benchmarks

No shared benchmark scores are currently available for this pair.

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Model pages

Labs and families

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Last reviewed: 2026-07-11. Data sourced from public model cards and provider documentation.

Both models

Gemini 2.5 Pro Llama 3.1 405B Instruct