Head-to-head

DeepSeek-V4 logovsClaude Opus 4.8 logo

DeepSeek-V4 vs Claude Opus 4.8: which AI model wins in 2026?

DeepSeek-V4 ($0.87/1M out) and Claude Opus 4.8 ($25/1M out) are two of the most-used AI models in 2026. Across 6 community votes, DeepSeek-V4 leads with 57% approval.

Quick verdict

On Reasoning, DeepSeek-V4 and Claude Opus 4.8 are tied at 4.5/5. On budget, DeepSeek-V4 wins: it starts at $0.87/1M out versus $25/1M out for Claude Opus 4.8.

Line-by-line comparison

From
$0.87/1M outV4-Pro tier: $0.435/1M in ($0.003625 cache hit), $0.87/1M out; cheaper V4-Flash tier at $0.14/$0.28 ($0.0028 cache hit); the 75% launch discount became permanent pricing on 2026-05-22. The official mid-July 2026 release introduces peak/off-peak pricing, with listed rates doubling during Beijing peak hours.
$25/1M outStandard tier $5/$25 per 1M tokens (unchanged from Opus 4.7); fast mode research preview at $10/$50 (vs $30/$150 on Opus 4.7's deprecated fast tier); batch API 50% off at $2.50/$12.50; no long-context surcharge up to 1M tokens; prompt cache reads at $0.50/1M.
Provider
DeepSeek
Anthropic
Context window
1M tokens (384K max output)
1M tokens (128K max output)
Input price
$0.435/1M in (cache hit $0.003625)
$5/1M in
Output price
$0.87/1M out
$25/1M out
Modalities
text only
text, vision (image input up to 2576px, text output)
Open weights
Yes
No
Crowd score
57%(3)
57%(3)
Arena ratings (1-5)
Reasoning
4.5
4.5
Coding
4.5
5.0
Writing
3.5
5.0
Speed
3.0
3.0
Value
5.0
3.5

Strengths and weaknesses

DeepSeek-V4

  • 1M-token context window (8x the 128K of V3.2) with up to 384K output tokens, standard on the official API
  • Aggressive pricing: $0.435/$0.87 per 1M tokens (V4-Pro), roughly 28.7x cheaper per output token than Claude Opus 4.8; cache-hit input drops to $0.003625/1M (over 99% discount)
  • MIT-licensed open weights for both V4-Pro and V4-Flash on Hugging Face: commercial use, fine-tuning and redistribution allowed
  • Open-source SOTA on agentic coding: 80.6 on SWE-bench Verified (Think Max config), tied with Gemini 3.1 Pro, plus Codeforces rating 3206 (~rank 23 vs humans)
  • Ranks #3 of 93 on the Artificial Analysis Intelligence Index (score 44), well above the 25 average
  • Sparse-attention stack cuts 1M-context inference to 27% of V3.2's FLOPs and 10% of its KV cache
  • Intermittent malformed tool calls: function calls sometimes emitted as plain text in content instead of the tool_calls field (GitHub issue deepseek-ai #1244)
  • Thinking mode breaks long multi-turn tool-call chains with 400 errors in agent frameworks (OpenClaw issue #72044, fix still incomplete)
  • Developers report it fabricating nonexistent APIs in custom codebases and acting on hallucinated user input in agent loops
  • Very verbose (180M eval output tokens vs 95M median) and mid-pack speed at 54.6 tok/s (#39/93), which erodes the low per-token price in practice
  • Text only (no vision or audio) and still a preview: the official release planned for mid-July 2026 adds peak-hour pricing that doubles listed API rates during Beijing business hours

Claude Opus 4.8

  • SWE-Bench Pro 69.2% (vs 64.3% for Opus 4.7) and beats prior Opus models on CursorBench at every effort level; strong real-world reports on large refactors and multi-file bug hunts
  • About 4x less likely than Opus 4.7 to let flaws in its own generated code pass unflagged; big jump on math reasoning (USAMO 2026: 96.7% vs 69.3%)
  • 1M-token context and 128K output at unchanged $5/$25 pricing, with no long-context premium; batch API at 50% off ($2.50/$12.50)
  • Fast mode (research preview) delivers up to 2.5x output speed at $10/$50, 3x cheaper than Opus 4.7's fast tier ($30/$150)
  • Unique API features for agents: mid-conversation system messages that preserve the prompt cache, and Dynamic Workflows spawning parallel subagents in Claude Code
  • 84% on Online-Mind2Web browser automation and record score on Legal Agent Benchmark (first model past 10% all-pass); strong enterprise knowledge work (Box reports 87% vs 77% internally)
  • Turn-by-turn regressions reported: missed obvious instructions in planning docs, answering a narrow slice of the goal, and worse one-shot simple UI generation than 4.7
  • Writing style criticized by heavy users: excessive hedging, over-cautious editing that 'cuts anything bold or funny' (Steve Yegge), and pushback loops even against well-evidenced theses
  • Language-mixing quirk: users report random Chinese, Cyrillic, or Greek insertions in long research threads
  • Visible quality degradation past ~200K tokens in hands-on use despite the advertised 1M window
  • Vending-Bench regression: fell for scam suppliers about 30x more than 4.7 and negotiates worse (a side effect of stricter honesty alignment)

Cast your verdict

One recommendation per tool per gladiator. It reshapes the crowd score everyone sees.

DeepSeek-V4$0.87/1M out
57%crowd score · 3
Claude Opus 4.8$25/1M out
57%crowd score · 3

The arena’s verdict on DeepSeek-V4

Choose DeepSeek-V4 if you want near-frontier reasoning and agentic coding at 3x to nearly 30x below Claude Opus or GPT-5.5 pricing, or if MIT-licensed weights for self-hosting and fine-tuning matter to you. It is a decisive upgrade over V3.2: 8x longer context, far cheaper long-context inference and stronger coding, and the legacy deepseek-chat/reasoner endpoints are deprecated on July 24, 2026 anyway. Avoid it for production agents that depend on rock-solid multi-turn tool calling, where users still report malformed tool calls and fabricated APIs, and for any vision or audio work since it is text only. Latency-sensitive apps should also test first, as its verbosity and mid-pack 54.6 tok/s output speed offset some of the cost advantage, and budget for the peak-hour price doubling arriving with the official mid-July release.

The arena’s verdict on Claude Opus 4.8

A drop-in upgrade for Opus 4.7 users: identical API surface and $5/$25 pricing with real gains on long-horizon agentic coding, code review, and enterprise analysis. Choose it if you run Claude Code, multi-file migrations, security audits, or agent pipelines that inspect, act, and verify over many steps. Skip it for quick one-shot UI snippets or prompts tightly tuned to 4.7 behavior, where users report regressions, and pick Sonnet 5 ($3/$15, intro $2/$10 through Aug 2026) if cost matters more than ceiling capability. Writers sensitive to hedging and over-cautious editing may find its style frustrating.

What the crowd says

On DeepSeek-V4

Thumbs Downicus

Tool calling is flaky. Function calls sometimes land as plain text instead of the tool_calls field, and thinking mode 400s on long multi-turn chains. Not agent-ready yet.

The Fair Reviewer

MIT license on both Pro and Flash weights is the real story. Fine-tune, redistribute, ship commercially, no lawyer needed. Plus 384K output tokens for long-doc generation.

Sir Ships-A-Lot

MIT weights, 1M context, and output tokens roughly 29x cheaper than Opus 4.8. Cache hits make input basically free. Moved my bulk pipelines over and the bill collapsed.

On Claude Opus 4.8

Judge Dreadful

Writing took a hit. It hedges everything and edits any bold or funny line out of my drafts. Also caught it answering a narrow slice of my planning doc and calling it done.

Champion of Vibes

Threw USAMO-level math at it for a lark and it just grinds through. 96.7 vs 69 for 4.7 tracks with what I see. Same $5/$25, 1M context, no excuse not to switch.

Glorius Maximus

Upgraded from 4.7 for a monorepo refactor and the difference is real. It actually flags its own sketchy code instead of shipping it. Multi-file bug hunts feel way less babysat.

Frequently asked questions

Is DeepSeek-V4 better than Claude Opus 4.8?

The right pick depends on your use case. The line-by-line comparison on this page breaks down pricing, key specs and arena ratings.

Which is cheaper, DeepSeek-V4 or Claude Opus 4.8?

DeepSeek-V4 is cheaper: it starts at $0.87/1M out, while Claude Opus 4.8 starts at $25/1M out.

How much do DeepSeek-V4 and Claude Opus 4.8 cost per 1M tokens?

DeepSeek-V4: $0.435/1M in (cache hit $0.003625) per 1M input tokens, $0.87/1M out per 1M output tokens. Claude Opus 4.8: $5/1M in per 1M input tokens, $25/1M out per 1M output tokens.