Head-to-head

DeepSeek-V4 logovsClaude Opus 4.5 logo

DeepSeek-V4 vs Claude Opus 4.5: which AI model wins in 2026?

DeepSeek-V4 ($0.87/1M out) and Claude Opus 4.5 ($25/1M out) are two of the most-used AI models in 2026. Across 3 community votes, DeepSeek-V4 leads with 57% approval.

Quick verdict

On Reasoning, pick DeepSeek-V4: the arena rates it 4.5/5 against 3.5/5 for Claude Opus 4.5. On budget, DeepSeek-V4 wins: it starts at $0.87/1M out versus $25/1M out for Claude Opus 4.5.

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 outOfficial Anthropic API list price for claude-opus-4-5 (single tier, no long-context premium; 200K context, 64K max output); same $5/$25 rate as its Opus 4.6-4.8 successors; 50% batch discount and prompt caching apply. Verified against platform.claude.com models overview 2026-07.
Provider
DeepSeek
Anthropic
Context window
1M tokens (384K max output)
200K tokens
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
Open weights
Yes
No
Crowd score
57%(3)
50%(0)
Arena ratings (1-5)
Reasoning
4.5
3.5
Coding
4.5
3.5
Writing
3.5
3.5
Speed
3.0
2.5
Value
5.0
2.5

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 4.5

  • First model past 80% on SWE-bench Verified (80.9% at launch), beating Gemini 3 Pro and GPT-5.1 on real-world coding
  • 66% price cut vs Opus 4.1 ($5/$25 vs $15/$75 per 1M tokens) made Opus-tier viable for production workloads
  • 48-76% fewer output tokens than Sonnet 4.5 at matched or better quality, compounding the price cut
  • Effort parameter (introduced with this model) lets devs trade reasoning depth for cost and latency per call
  • Strong hands-on reports: one-shot complex refactors, caught race conditions other models missed, converged in ~4 agentic iterations vs ~10 for rivals
  • +29% on Vending-Bench vs Sonnet 4.5, with fewer dead-ends on long-horizon autonomous tasks
  • 200K context window only (64K max output), far behind the 1M of Gemini 3 Pro and later Claude models; users reported selective attention above ~70% context fill
  • Gated to $100-200/month Max tiers in Claude apps at launch; Pro subscribers were locked out and heavy users still hit limits (HN called it 'penny-wise and pound-foolish')
  • Moderate latency; extended thinking adds cost and delay on simple tasks
  • Superseded since early 2026: Opus 4.6/4.7/4.8 cost the same $5/$25 with 1M context and higher benchmarks, leaving 4.5 no price advantage
  • Legacy API surface: manual budget_tokens extended thinking rather than the adaptive thinking of newer Claude models

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 4.5$25/1M out
50%crowd score · 0

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 4.5

Pick Claude Opus 4.5 only if you have a workload already tuned and pinned to this snapshot (claude-opus-4-5-20251101) and need stability. It was a landmark release, the first past 80% on SWE-bench Verified and a 66% price cut over Opus 4.1, but Anthropic now sells Opus 4.6 through 4.8 at the identical $5/$25 rate with a 1M context window and better scores. Anyone starting a new project should choose Opus 4.8 instead, and cost-sensitive users get near-Opus coding from Sonnet 5 at $3/$15 (intro $2/$10 through Aug 2026). Avoid it entirely if your prompts approach the 200K context ceiling.

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 4.5

No verdicts yet. Be the first to speak.

Frequently asked questions

Is DeepSeek-V4 better than Claude Opus 4.5?

The crowd currently sides with DeepSeek-V4: 57% recommend it, versus 50% for Claude Opus 4.5 (3 votes). On Reasoning, DeepSeek-V4 rates higher (4.5/5 vs 3.5/5). 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 4.5?

DeepSeek-V4 is cheaper: it starts at $0.87/1M out, while Claude Opus 4.5 starts at $25/1M out.

How much do DeepSeek-V4 and Claude Opus 4.5 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 4.5: $5/1M in per 1M input tokens, $25/1M out per 1M output tokens.