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Model comparison

Claude Opus 5 vs DeepSeek V4 Pro

Anthropic against DeepSeek, compared on context, price, and verified benchmark results.

Catalog record checked September 3, 2026Individual provider fields may changeEvidence confidence: High — see receipts below

Anthropic

Claude Opus 5

Frontier

vs

DeepSeek

DeepSeek V4 Pro

Frontier · Open weights

AI model capability comparison
SpecificationClaude Opus 5DeepSeek V4 Pro
ProviderAnthropicDeepSeek
TierFrontierFrontier
Context window1M1M
Max output128KWinner: 384K
Input / 1M tokens$5Winner: $1.32
Output / 1M tokens$25Winner: $3.96
WeightsClosedOpen
ParametersNot disclosedUnverified1.6T total / 49B active (MoE)
Reasoning levelsadaptivelow, high, max
Modalitiestext, imagetext
LicenseNot disclosedUnverifiedMIT
API model idclaude-opus-5deepseek-v4-pro
ReleasedJuly 24, 2026April 24, 2026
Artificial Analysis Intelligence Index [max] (2026-08-14)63Not verifiedUnverified
Artificial Analysis Intelligence Index (2026-08-14)Not verifiedUnverified53
Humanity's Last Exam (2026-09-01)Winner: 63.648.2
Terminal-Bench 2.1 (2026-09-03)86.7Not verifiedUnverified
SWE-bench Verified (2026-04-24)Not verifiedUnverified80.6
GPQA Diamond (2026-04-24)Not verifiedUnverified90.1
MMLU-Pro (2026-04-24)Not verifiedUnverified87.5

Prices are USD per million tokens at standard rates, excluding batch and caching discounts. Bold indicates the better figure where one is objectively better. Values we could not confirm from the provider are shown as “Not verified” rather than estimated.

Benchmark receipts

  • 2026-09-03: Meta Muse Spark 1.3 launch table (independent cross-vendor run; conflicts with Google's 89.1 — both preserved)Agentic terminal work: multi-step tasks executed in a sandboxed shell environment. Comparability: comparable with caveat — Scores across Terminal-Bench major versions (v1 vs v2) are NOT comparable; harness configuration (container, time limits) also shifts results.
  • 2026-09-02: Google Gemini 3.8 Flash launch eval table (independent cross-vendor run)Agentic terminal work: multi-step tasks executed in a sandboxed shell environment. Comparability: comparable with caveat — Scores across Terminal-Bench major versions (v1 vs v2) are NOT comparable; harness configuration (container, time limits) also shifts results.
  • 2026-09-01: Anthropic Fable 5.1 comparison table (vendor, with tools; 56.6 no tools)Frontier-knowledge ceiling: extremely hard multi-domain questions written to be near-impossible without deep expertise. Comparability: comparable with caveat — Subset/tool configurations (text-only vs with-tools) differ between vendors and materially change scores; must match configuration to compare.
  • 2026-08-14: Artificial AnalysisComposite index blending reasoning, knowledge, and coding evals into one 0–100 score. Comparability: directly comparable — AA occasionally rebaselines the index scale between snapshots — a score captured on one date is only comparable to same-snapshot scores (check measuredAt).
  • 2026-04-24: DeepSeek V4 Pro HF model card (vendor, Think Max, exact match)Real GitHub issue resolution: does the model's patch pass the hidden tests. Comparability: comparable with caveat — Post-audit vendor claims and pre-audit scores sit on different task trust levels; scaffolding (agent harness, compute budget) also dominates results. Never aggregate across scaffolds.

Pricing tiers: Claude Opus 5: Standard $5/$25 per MTok; cache reads 10% of base input. Knowledge cutoff May 2026. · DeepSeek V4 Pro: Official peak rates $1.32/$3.96 per MTok; off-peak $0.66/$1.98 (cache-miss). Open weights (MIT). 1.6T/49B active MoE.

FrontierRecord checked September 3, 2026

Claude Opus 5

Claude Opus 5 is Anthropic's top model for complex agentic coding and enterprise work — superseded at the top of the Artificial Analysis Index by Fable 5.1 (2026-09-01) but stronger on price.

Best for

  • Complex agentic coding
  • Enterprise work
  • Long-context analysis

Watch out

Output costs 5x input; long generations dominate the bill.

FrontierOpen weightsRecord checked September 3, 2026

DeepSeek V4 Pro

DeepSeek V4 Pro is the open-weight (MIT) flagship with a 1M-token context at a fraction of frontier API cost.

Best for

  • Cost-sensitive hosted agents
  • Open-weight deployments
  • High-volume coding

Watch out

Self-hosting needs datacentre VRAM; hosted rates vary by provider. Price single-source — verify.

When the cheaper one wins

DeepSeek V4 Pro is cheaper on output at $3.96 per million tokens against $25 for Claude Opus 5 — about 6.3×. Use the cheaper tier for classification, extraction, summarisation, and any task where the expensive model’s extra score does not change the accepted output. The expensive one only pays if your hardest task actually fails on the cheap tier. These are standard-tier API rates, excluding batch and cache discounts.

Run the model picker

Evidence confidence: High

How strong and complete the evidence behind this comparison is — not a prediction of which model is better.

  • Pricing verified on both sidesInput and output rates are verified for both models.
  • 4/5 core specs verified on both sidesNot published for at least one side: parameter count.
  • 2 shared named benchmarks with differing scoresMeasured on: Artificial Analysis Intelligence Index, Humanity's Last Exam.
  • Verified within the last 90 daysNewest catalog check was 8 days ago.
  • Both models carry source citationsEach side has at least two catalog sources on record.

Source receipts

Each catalog figure was checked against the provider or an independent second source on the date shown.

Common questions

Claude Opus 5 vs DeepSeek V4 Pro

Answered from the verified figures on this page rather than general guidance.

Is Claude Opus 5 or DeepSeek V4 Pro cheaper for input?

DeepSeek V4 Pro is cheaper at $1.32 per million input tokens, against $5 for Claude Opus 5 — roughly 3.8× the price. Output tokens usually dominate a real bill, so weigh the output rate more heavily than the input rate. These are base rates; Claude Opus 5 has tiered pricing: Standard $5/$25 per MTok; cache reads 10% of base input. Knowledge cutoff May 2026. DeepSeek V4 Pro has tiered pricing: Official peak rates $1.32/$3.96 per MTok; off-peak $0.66/$1.98 (cache-miss). Open weights (MIT). 1.6T/49B active MoE.

Is Claude Opus 5 or DeepSeek V4 Pro cheaper for output?

DeepSeek V4 Pro is cheaper at $3.96 per million output tokens, against $25 for Claude Opus 5 — roughly 6.3× the price. Output tokens usually dominate a real bill, so weigh the output rate more heavily than the input rate. These are base rates; Claude Opus 5 has tiered pricing: Standard $5/$25 per MTok; cache reads 10% of base input. Knowledge cutoff May 2026. DeepSeek V4 Pro has tiered pricing: Official peak rates $1.32/$3.96 per MTok; off-peak $0.66/$1.98 (cache-miss). Open weights (MIT). 1.6T/49B active MoE.

Which has the larger context window, Claude Opus 5 or DeepSeek V4 Pro?

Both accept about 1M tokens of context, so document length will not decide between them.

Do Claude Opus 5 and DeepSeek V4 Pro support the same reasoning levels?

Claude Opus 5 exposes adaptive, while DeepSeek V4 Pro exposes low, high, max.

Should I use Claude Opus 5 or DeepSeek V4 Pro?

Both sit in the frontier tier, so the choice usually comes down to price and context rather than capability. Claude Opus 5 suits complex agentic coding; DeepSeek V4 Pro suits cost-sensitive hosted agents.

Can I self-host Claude Opus 5 or DeepSeek V4 Pro?

DeepSeek V4 Pro publishes open weights, but self-hosting and third-party provider access depend on the licence, hardware, serving support, and availability. Claude Opus 5 is a closed model whose supported access paths are controlled by its provider.

Next step

Choosing between them

The verified figures that separate this pair, computed from the catalog rather than restated boilerplate.

  • Input price: DeepSeek V4 Pro costs $1.32 per 1M tokens versus $5 for Claude Opus 5 — a 3.8x difference at the headline tier.
  • Measured capability: Claude Opus 5 leads Artificial Analysis Intelligence Index 63 to 53 (measured 2026-08-14).
  • Deployment: DeepSeek V4 Pro publishes weights you can self-host; the other is API-only.

Choosing a harness rather than a model — Cursor, Copilot, Claude Code, Windsurf, or Lovable? Compare agentic harnesses · Latest releases.