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Claude Opus 4.7 vs GPT-5 vs Gemini 2.5: Best AI for Coding in 2026?
Accuracy, speed, price, and context window benchmarks for the top 3 AI models of 2026. Plus: which model for which job.
Note: this comparison is opinion based on public information at the time of writing. Model versions, pricing, and capabilities change quickly — always verify against official sources before deciding.
TL;DR
- Claude Opus 4.7 — best for coding & agentic workflows, 1M context, most accurate on long complex tasks.
- GPT-5 — best for general reasoning & multi-modal, broadest ecosystem (OpenAI).
- Gemini 2.5 Pro — best for multi-modal video + cheapest per-token, 2M context.
Benchmark — SWE-bench Verified (coding accuracy)
Indicative based on vendor and community publications. Real scores vary by test suite.
Price per 1M tokens (input / output)
Decision matrix
| Use case | Recommendation |
|---|---|
| Agentic coding (long, multi-step) | Opus 4.7 |
| General Q&A, generic assistants | Sonnet 4.6 or GPT-5 |
| Cost-sensitive content generation | Gemini 2.5 Flash |
| Long-context document analysis (>500K) | Gemini 2.5 Pro (2M) or Opus 4.7 (1M) |
| Multimodal (image + video understanding) | Gemini 2.5 Pro or GPT-5 |
| On-device / privacy-first | Llama 4 70B or DeepSeek V4 self-hosted |
What we use at Lancartech
- Coding agents (Claude Code, Cursor) → Opus 4.7
- Client-SaaS support bots → Sonnet 4.6 (cost/quality balance)
- Bulk content generation (SEO, translation) → Gemini 2.5 Flash or Llama self-hosted
- Image generation — still no model is strong here; we use specialized services
Notes
- Context caching changes the price equation drastically. Opus 4.7 with 90% cache hits can be cheaper than GPT-5 for repetitive workflows.
- Function-calling reliability — Opus 4.7 is the most consistent for multi-tool workflows.
- Streaming latency — Gemini Flash leads (TTFT < 200ms); Opus is slowest but highest quality.
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