Capability · Comparison
Claude Opus 4.7 vs Gemini 2.5 Pro
Claude Opus 4.7 and Gemini 2.5 Pro serve different centres of gravity. Claude is the agent-backend model; Gemini is the long-context multimodal workhorse — 2M tokens, video understanding, and Workspace-native. Pick by what you ingest and what you orchestrate.
Side-by-side
| Criterion | Claude Opus 4.7 | Gemini 2.5 Pro |
|---|---|---|
| Context window | 1,000,000 tokens | 2,000,000 tokens |
| Modalities | Text, vision, code | Text, vision, audio, video, code |
| Video understanding | Not supported | Industry-leading |
| Coding agents (SWE-bench Verified) | ≈75% | ≈62% |
| Pricing ($/M input) | $15 | $1.25 |
| Pricing ($/M output) | $75 | $10 |
| Primary dev surface | Anthropic API + Bedrock + Vertex | Vertex AI + Gemini app + Workspace |
| Workspace / productivity integration | Via third parties | Native (Gmail, Docs, Drive) |
Verdict
For long-context document analysis, video understanding, and Workspace-integrated agents, Gemini 2.5 Pro is the stronger and cheaper choice. For coding agents, long-horizon tool use, and hard engineering problems, Claude Opus 4.7 remains the leader. Many organisations use Gemini for ingestion and summarisation, then route complex reasoning and code tasks to Claude.
When to choose each
Choose Claude Opus 4.7 if…
- You're building a coding agent or research-grade long-horizon workflow.
- Tool-call reliability under long loops is critical.
- You're already on Anthropic or AWS Bedrock.
Choose Gemini 2.5 Pro if…
- You need to process 1M+ tokens of context, or long video.
- Cost per million tokens matters at volume.
- You're in a Google Workspace / Google Cloud organisation.
- You need native video or audio understanding.
Frequently asked questions
Does Gemini 2.5 Pro understand video?
Yes. Gemini 2.5 Pro accepts video input natively and can summarise, search timestamps, and reason over long clips. Claude Opus 4.7 does not accept video directly.
How much cheaper is Gemini 2.5 Pro than Claude Opus 4.7?
Roughly 12× cheaper on input and 7–8× cheaper on output per token as of April 2026 ($1.25 vs $15 input, $10 vs $75 output). For very long prompts, Claude's prompt caching narrows the gap.
Sources
- Anthropic — Models overview — accessed 2026-04-20
- Google AI — Gemini models — accessed 2026-04-20