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Claude Opus 4.8 vs Gemini 3.1 Pro: premium reasoning or massive context?

Gemini 3.1 Pro for workloads that need huge context windows, multimodal processing, or the lowest price per token in the premium tier. Claude Opus 4.8 for tasks where reasoning depth is the primary requirement and you're willing to pay a premium for Anthropic's best model.

Anthropic's refined flagship versus Google's context-window king.

Claude Opus 4.8 is Anthropic's latest flagship reasoning model with refined instruction following. Gemini 3.1 Pro is Google's premium model with a 1M token context window. Opus 4.8 costs more at the short-context tier, but the choice isn't just about price. It depends on whether you need Gemini's larger context and multimodal inputs or Opus's reasoning profile.

By TechCompare · Updated

Cost Comparison

Based on 100,000 input tokens (50% cached), 5,000 output tokens, and 100 requests.Prices are fetched live from OpenRouter and may include temporary promotional discounts not accounted for in our article and comparison figures.

Option A
Claude Opus 4.8
Wins 0 of 4 compared specs
Option B
Gemini 3.1 Pro
Wins 4 of 4 compared specs

Side-by-side specs

SpecClaude Opus 4.8Gemini 3.1 Pro
Input Cost (per M)
$5.00
$2.00 (better on this spec)
Output Cost (per M)
$25.00
$12.00 (better on this spec)
Cached Input (per M)
$0.50
$0.20 (better on this spec)
Context Window
500K
1M (better on this spec)

How they differ

Claude Opus 4.8 costs $5.00 per million input tokens and $25.00 per million output tokens, with a 90% caching discount. Gemini 3.1 Pro costs $2.00 per million input tokens and $12.00 per million output tokens for prompts up to 200K, with a 90% caching discount to $0.20/M. Gemini's rates rise to $4.00/M input and $18.00/M output above 200K. Its 1M context window is twice Opus 4.8's 500K. For long-document analysis, RAG with large context, and multimodal tasks, Gemini's architecture has native advantages. Opus 4.8 counters with deeper reasoning, better instruction following, and Anthropic's mature tool-use ecosystem.

Verdict

For prompts up to 200K, Gemini charges $2.00/M input and $12.00/M output against Opus 4.8's $5.00 and $25.00. Gemini also wins cached input at $0.20/M against Opus's $0.50/M, with both applying a 90% discount. Gemini's 1M context window is twice Opus's 500K. Pick by workload shape. Large corpus or multimodal work leans Gemini, while deep multi-step reasoning leans Opus.

Which should you pick?

Choose Claude Opus 4.8

Deep reasoning tasks, complex code synthesis, multi-step planning, and workloads where instruction-following precision matters more than context size or per-token cost.

Choose Gemini 3.1 Pro

Large-context workloads up to 1M tokens, multimodal processing, long-document analysis, and teams prioritizing cost efficiency in the premium tier.

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Frequently asked questions

Which is better for analyzing documents over 500K tokens, Opus 4.8 or Gemini 3.1 Pro?
Gemini 3.1 Pro offers a 1M context window, twice Opus 4.8's 500K, so it can reduce chunking for very large documents. Prompts above 200K use Gemini's $4.00/M input and $18.00/M output tier. Leave room for instructions and output rather than assuming a full 1M-token document fits unchanged.
When does Claude Opus 4.8's reasoning beat Gemini's context advantage?
On tasks where reasoning depth is the bottleneck, not context size. Multi-step code synthesis, complex planning, and instruction-following-heavy workloads favor Opus 4.8. Its $5.00/M input premium buys Anthropic's strongest reasoning, which matters when a wrong answer costs more than chunking overhead.
How do the cached input prices compare?
Opus 4.8 caches at $0.50/M. Gemini 3.1 Pro caches at $0.20/M for prompts up to 200K and $0.40/M above 200K. Both apply a 90% discount, but Gemini's lower base input price keeps its cached rate lower.