Compare / head-to-head
DeepSeek V4 ProvsLlama 3.3 70B Instruct
DeepSeek V4 Pro leads 3 of 3 shared benchmarks. DeepSeek V4 Pro 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
DeepSeek V4 Pro leads
Cheaper per token
—
list price, input + output
Larger context
DeepSeek V4 Pro
1M tokens
Provider uptime (30d)
100% · —
DeepSeek · Meta
DeepSeek V4 Pro
DeepSeek · released 2026-08-13
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Llama 3.3 70B Instruct
Meta · released 2024-12-06
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- Context
- 131K
- Max out
- —
- Input /1M
- —
- Output /1M
- —
- Cached /1M
- —
- Scores
- 5 · 4 core
Quality
Benchmark matrix
3 shared · 8 only DeepSeek V4 Pro · 1 only Llama 3.3 70B Instruct| Benchmark | DeepSeek V4 Pro | Llama 3.3 70B Instruct | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 3 | ||||
| GPQA Diamond | 90.9% ↗epoch | 50.5% ↗ | +40.4 pt | DeepSeek V4 Pro |
| LMArena Elo | 1450.6 ↗ | 1274 ↗ | +176.6 | DeepSeek V4 Pro |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | 96.7% ↗epoch | 5.1% ↗epoch | +91.6 pt | DeepSeek V4 Pro |
| Only DeepSeek V4 Pro reports · 8 | ||||
| AIME 2026 | 96.7% ↗matharena ⚠ | not reported | — | — |
| DeepSWE v1.1 | 62.7% ↗ | not reported | — | — |
| FrontierMath Tier 4 v2 (Epoch AI run) | 2.4% ↗epoch | not reported | — | — |
| FrontierMath Tiers 1-3 v2 (Epoch AI run) | 45.3% ↗epoch | not reported | — | — |
| Humanity's Last Exam (with tools) | 60% ↗ | not reported | — | — |
| SimpleQA Verified | 47% ↗epoch | not reported | — | — |
| SWE-bench Verified (Epoch AI run) | 77.6% ↗epoch | not reported | — | — |
| Terminal-Bench 2.1 | 87.9% ↗ | 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 DeepSeek V4 Pro 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 | DeepSeek V4 Pro | Llama 3.3 70B Instruct | Edge |
|---|---|---|---|
| Context window | 1M tokens | 131K tokens | DeepSeek V4 Pro |
| Max output | 384K tokens | — | — |
| Input price / 1M | $0.435 ↗ | — | — |
| Output price / 1M | $0.87 ↗ | — | — |
| Cached input / 1M | $0.004 ↗ | — | — |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $1.31 | — | — |
| Modalities | text | text | Tie |
| Released | 2026-08-13 | 2024-12-06 | — |
| Cited benchmark scores | 11 | 5 | — |
Reliability
Provider status
Last 60 days · refreshed daily on this page · live on /statusMore matchups
DeepSeek V4 Pro 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 DeepSeek V4 Pro and Llama 3.3 70B Instruct on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.