Compare / head-to-head
Claude Opus 4.8vs
DeepSeek V3.1
Claude Opus 4.8 leads 4 of 4 shared benchmarks. Claude Opus 4.8 has the larger context window (1M tokens).
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
4 – 0
Claude Opus 4.8 leads
Cheaper per token
—
list price, input + output
Larger context
Claude Opus 4.8
1M tokens
Providers
2 providers
Anthropic · DeepSeek
Claude Opus 4.8
Anthropic · released 2026-05-28
textvision
DeepSeek V3.1
DeepSeek · released 2025-08-21
text
- Context
- 128K
- Max out
- —
- Input /1M
- —
- Output /1M
- —
- Cached /1M
- —
- Scores
- 18 · 9 core
Quality
Benchmark matrix
4 shared · 36 only Claude Opus 4.8 · 14 only DeepSeek V3.1| Benchmark | Claude Opus 4.8 | DeepSeek V3.1 | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 4 | ||||
| LMArena Elo | 1452.7 ↗ | 1417.1 ↗ | +35.6 | Claude Opus 4.8 |
| BrowseComp | 84.3% ↗ | 30% ↗ | +54.3 pt | Claude Opus 4.8 |
| SimpleBench (SimpleBench) | 64.8% ↗ | 40% ↗ | +24.8 pt | Claude Opus 4.8 |
| WeirdML (Håvard Tveit Ihle) | 82.9% ↗ | 38.4% ↗ | +44.5 pt | Claude Opus 4.8 |
| Only Claude Opus 4.8 reports · 36 | ||||
| SWE-bench Verified | 88.6% ↗ | not reported | — | — |
| GPQA Diamond | 93.6% ↗ | not reported | — | — |
| AIME 2026 | 100% ↗matharena ⚠ | not reported | — | — |
| Humanity's Last Exam (no tools) | 49.8% ↗ | not reported | — | — |
| APEX-Agents (Mercor) | 48.9% ↗ | not reported | — | — |
| Chess Puzzles (Epoch AI run) | 34% ↗epoch run | not reported | — | — |
| DeepSWE v1.1 (Datacurve) | 59% ↗ | not reported | — | — |
| EBR-bench (Epoch AI run) | 28.6% ↗epoch run | not reported | — | — |
| FrontierMath Tier 4 v2 (Epoch AI run) | 56.1% ↗epoch run | not reported | — | — |
| FrontierMath Tiers 1-3 v2 (Epoch AI run) | 80% ↗epoch run | not reported | — | — |
| Furniture Assembly (Epoch AI run) | 42.5% ↗epoch run | not reported | — | — |
| GSO Opt@1 (GSO) | 47.1% ↗ | not reported | — | — |
| Humanity's Last Exam (with tools) | 57.9% ↗ | not reported | — | — |
| LiveBench Agentic Coding (LiveBench) | 50.5% ↗ | not reported | — | — |
| LiveBench Coding (LiveBench) | 81.8% ↗ | not reported | — | — |
| LiveBench Data Analysis (LiveBench) | 66% ↗ | not reported | — | — |
| LiveBench Instruction Following (LiveBench) | 72% ↗ | not reported | — | — |
| LiveBench Language (LiveBench) | 79.7% ↗ | not reported | — | — |
| LiveBench Mathematics (LiveBench) | 94.3% ↗ | not reported | — | — |
| LiveBench Reasoning (LiveBench) | 89.2% ↗ | not reported | — | — |
| LMArena Agent (LMArena) | 0.0664 ↗ | not reported | — | — |
| LMArena Vision (LMArena) | 1286.4 ↗ | not reported | — | — |
| LMArena WebDev (LMArena) | 1555.5 ↗ | not reported | — | — |
| Mystery Game Puzzles (Epoch AI run) | 36% ↗epoch run | not reported | — | — |
| OSWorld-Verified | 83.4% ↗ | not reported | — | — |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | 98.3% ↗epoch run | not reported | — | — |
| SAGE (Vals AI) | 54.8% ↗ | not reported | — | — |
| SimpleQA Verified | 53% ↗epoch run | not reported | — | — |
| SWE-bench Multilingual | 84.4% ↗ | not reported | — | — |
| SWE-bench Multimodal | 38.4% ↗ | not reported | — | — |
| SWE-Bench Pro | 69.2% ↗ | not reported | — | — |
| tau2-bench Banking Knowledge (Sierra) | 39.7% ↗ | not reported | — | — |
| Terminal-Bench 2.1 | 74.6% ↗ | not reported | — | — |
| Terminal-Bench 4.0 (Vals AI) | 23.2% ↗ | not reported | — | — |
| Toolathlon-Verified (HKUST) | 76.2% ↗ | not reported | — | — |
| Vending-Bench 2 (Andon Labs) | 5787.43 ↗ | not reported | — | — |
| Only DeepSeek V3.1 reports · 14 | ||||
| Aider-Polyglot (thinking) | not reported | 76.3% ↗ | — | — |
| AIME 2024 (thinking) | not reported | 93.1% ↗ | — | — |
| AIME 2025 (thinking) | not reported | 88.4% ↗ | — | — |
| GPQA-Diamond (thinking) | not reported | 80.1% ↗ | — | — |
| HMMT 2025 (thinking) | not reported | 84.2% ↗ | — | — |
| Humanity's Last Exam (Python + Search) | not reported | 29.8% ↗ | — | — |
| Humanity's Last Exam (thinking, text-only) | not reported | 15.9% ↗ | — | — |
| LiveCodeBench (2408-2505) (thinking) | not reported | 74.8% ↗ | — | — |
| MMLU-Pro (thinking) | not reported | 84.8% ↗ | — | — |
| MMLU-Redux (thinking) | not reported | 93.7% ↗ | — | — |
| SimpleQA (search agent) | not reported | 93.4% ↗ | — | — |
| SWE Verified (Agent mode) | not reported | 66% ↗ | — | — |
| SWE-bench Multilingual (Agent mode) | not reported | 54.5% ↗ | — | — |
| Terminal-bench (Terminus 1 framework) | not reported | 31.3% ↗ | — | — |
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 4.8 minus DeepSeek V3.1 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 4.8 | DeepSeek V3.1 | Edge |
|---|---|---|---|
| Context window | 1M tokens | 128K tokens | Claude Opus 4.8 |
| 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 4.8 |
| Released | 2026-05-28 | 2025-08-21 | — |
| Cited benchmark scores | 47 | 18 | — |
Reliability
Provider status
Live from /statusMore matchups
Claude Opus 4.8 vs …
Models sharing the most benchmarksMore matchups
DeepSeek V3.1 vs …
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Which one wins on your data?
Public benchmarks are a starting point. Run Claude Opus 4.8 and DeepSeek V3.1 on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.