Claude Opus 4.7 vs Gemma 3
Pricing, benchmarks, and use case comparison
Quick take
- •Claude Opus 4.7 is meaningfully stronger at coding (94 vs 62 on our capability index).
- •Gemma 3 is meaningfully stronger at cost efficiency (90 vs 70).
- •Gemma 3 is open-weights (free to self-host); Claude Opus 4.7 is paid API only.
- •Claude Opus 4.7 has a 1M context window vs 128K tokens (32K for the 1B variant) - better for whole-repo or long-document work.
Specs comparison
| Claude Opus 4.7 | Gemma 3 | |
|---|---|---|
| Provider | Anthropic | Google DeepMind |
| Type | Closed source | Open source |
| Context window | ✓1M | 128K tokens (32K for the 1B variant) |
| Input / 1M tokens | $5.00 | ✓Free (self-host) |
| Output / 1M tokens | $25.00 | Free (self-host) |
| Release date | 2026-04 | 2025-03 |
Benchmarks
| Benchmark | Claude Opus 4.7 | Gemma 3 |
|---|---|---|
| SWE-bench Verified | 87.6% | - |
| SWE-bench Pro | 64.3% | - |
| MATH (27B) | - | 89% |
| MMMU (27B, multimodal) | - | 64.9% |
Scores sourced from official provider release posts and independent benchmark aggregators.
Which should you choose?
Choose Claude Opus 4.7 if...
- →You have a pipeline pinned to Opus 4.7 and need stability
- →Your workload is vision-heavy and benefits from higher-resolution image input
- →You need top-tier coding with 1M context but haven't migrated to 4.8 yet
- →You want documented, broadly available Opus-class behavior
Choose Gemma 3 if...
- →You need an open, self-hostable model with a size to match your hardware
- →Multilingual or multimodal tasks on-prem
- →Privacy-sensitive or offline deployments
- →Fine-tuning on your own data