Compare / head-to-head
Claude Opus 4.7vsLlama 3.3 70B Instruct
Claude Opus 4.7 leads 3 of 3 shared benchmarks. Claude Opus 4.7 has the larger context window (1M tokens).
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
3 – 0
Claude Opus 4.7 leads
Cheaper per token
—
list price, input + output
Larger context
Claude Opus 4.7
1M tokens
Provider uptime (30d)
100% · —
Anthropic · Meta
Claude Opus 4.7
Anthropic · released 2026-04-16
textvision
Llama 3.3 70B Instruct
Meta · released 2024-12-06
text
- Context
- 131K
- Max out
- —
- Input /1M
- —
- Output /1M
- —
- Cached /1M
- —
- Scores
- 5 · 4 core
Quality
Benchmark matrix
3 shared · 14 only Claude Opus 4.7 · 1 only Llama 3.3 70B Instruct| Benchmark | Claude Opus 4.7 | Llama 3.3 70B Instruct | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 3 | ||||
| GPQA Diamond | 94.2% ↗ | 50.5% ↗ | +43.7 pt | Claude Opus 4.7 |
| LMArena Elo | 1483.4 ↗ | 1274 ↗ | +209.4 | Claude Opus 4.7 |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | 97.8% ↗epoch | 5.1% ↗epoch | +92.7 pt | Claude Opus 4.7 |
| Only Claude Opus 4.7 reports · 14 | ||||
| SWE-bench Verified | 87.6% ↗ | not reported | — | — |
| AIME 2026 | 95.8% ↗matharena ⚠ | not reported | — | — |
| Humanity's Last Exam (no tools) | 46.9% ↗ | not reported | — | — |
| BrowseComp | 79.8% ↗ | not reported | — | — |
| FrontierMath Tier 4 v2 (Epoch AI run) | 31.7% ↗epoch | not reported | — | — |
| FrontierMath Tiers 1-3 v2 (Epoch AI run) | 70.2% ↗epoch | not reported | — | — |
| Humanity's Last Exam (with tools) | 54.7% ↗ | not reported | — | — |
| OSWorld-Verified | 82.8% ↗ | not reported | — | — |
| SimpleQA Verified | 51.7% ↗epoch | not reported | — | — |
| SWE-bench Multilingual | 80.5% ↗ | not reported | — | — |
| SWE-bench Multimodal | 34.5% ↗ | not reported | — | — |
| SWE-Bench Pro | 64.3% ↗ | not reported | — | — |
| SWE-bench Verified (Epoch AI run) | 83.5% ↗epoch | not reported | — | — |
| Terminal-Bench 2.1 | 66.1% ↗ | not reported | — | — |
| Only Llama 3.3 70B Instruct reports · 1 | ||||
| MMLU-Pro | not reported | 68.9% ↗ | — | — |
Scores tagged "epoch" or "matharena" are independent runs, used only where the lab has not published its own; ⚠ marks rows MathArena flags as released after the competition. Higher is better on every row. Δ is Claude Opus 4.7 minus Llama 3.3 70B Instruct in the benchmark's own unit. "Not reported" means the lab has not published that figure; it is not a zero. ↗ opens the source.
Specs & pricing
Side by side
Official pricing pages and model cards| Spec | Claude Opus 4.7 | Llama 3.3 70B Instruct | Edge |
|---|---|---|---|
| Context window | 1M tokens | 131K tokens | Claude Opus 4.7 |
| Max output | 128K tokens | — | — |
| Input price / 1M | $5 ↗ | — | — |
| Output price / 1M | $25 ↗ | — | — |
| Cached input / 1M | $0.5 ↗ | — | — |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $30 | — | — |
| Modalities | text · vision | text | Claude Opus 4.7 |
| Released | 2026-04-16 | 2024-12-06 | — |
| Cited benchmark scores | 18 | 5 | — |
Reliability
Provider status
Last 60 days · refreshed daily on this page · live on /statusMore matchups
Claude Opus 4.7 vs …
Models sharing the most benchmarksMore matchups
Llama 3.3 70B Instruct vs …
Models sharing the most benchmarksBuilt by Respan
Which one wins on your data?
Public benchmarks are a starting point. Run Claude Opus 4.7 and Llama 3.3 70B Instruct on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.