MModelspectraIndependent AI Model Intelligence
Head-to-head · Updated 2026-09-08
Model Comparison · Head to Head

Claude Opus 5 vs DeepSeek-V4-Pro

Claude Opus 5 wins on Overall, Coding, Multimodal. Every numeric field is compared below, with a worked monthly-cost example and a pick rule for each use case.

VendorAnthropic / DeepSeek
Data fields15+ dimensions
Updated2026-09-08
Read~9 min
01

Verdict at a glance

Bottom line: Choose Claude Opus 5 when coding depth, long-context reliability matter most; choose DeepSeek-V4-Pro when lower cost, lower latency, fine-tuning/ecosystem is the priority.

Choose Claude Opus 5 if you…

  • Dependable and stable
  • Strong reasoning depth
  • Strong long-document handling
  • Best for: Deep reasoning, Long documents, Coding

Choose DeepSeek-V4-Pro if you…

  • Strongest open source
  • Value champion
  • Excellent math reasoning
  • Extremely low price
  • Best for: Coding, Math reasoning, Open-source deployment
02

Head-to-head aggregate scores

Scores are 0–100, aggregated from public benchmark information and independently weighted across three leaderboards. Rank is out of 22 tracked models.

Claude Opus 5 Higher overall
Anthropic · #2 overall
Overall87
Coding97
Multimodal91
VS
DeepSeek-V4-Pro
DeepSeek · #8 overall
Overall77
Coding79
Multimodal77

Aggregated from public sources and independently weighted; methodology on the Terms page. Scores within 3 points are treated as statistically tied.

03

Specs & pricing — every field side by side

List API prices in USD per 1M tokens. The highlighted cell is the stronger value/capability on that row.

DimensionClaude Opus 5DeepSeek-V4-ProVerdict
VendorAnthropic (US)DeepSeek (CN)Different vendors
Released2026.072026.04Claude Opus 5 is newer
Overall (rank)87 · #277 · #8Claude Opus 5 +10
Coding97 · #279 · #5Claude Opus 5 +18
Multimodal91 · #577 · #13Claude Opus 5 +14
Context window1M1MTie
Max output128K128KTie
Effective-context9794Claude Opus 5 more reliable
Input $/1M$5$0.44DeepSeek-V4-Pro cheaper
Output $/1M$25$1.32DeepSeek-V4-Pro cheaper
Cache discount90% offnoneClaude Opus 5 deeper
Speed~45 tok/s~70 tok/sDeepSeek-V4-Pro faster
TTFT0.9s0.5sDeepSeek-V4-Pro snappier
Function calling9082Claude Opus 5 ahead
Refusal rate~7%~5%DeepSeek-V4-Pro less restrictive
English9682Claude Opus 5
Chinese8085DeepSeek-V4-Pro
Modalitiestext, imagetextdifferent coverage
Open weightsNoYesDeepSeek-V4-Pro is open
Fine-tuningNoYes
Free tierNo free tierDeepSeek App free; new API users receive credits
SOC2 / no-trainyes / yesno / yes
Private deploymentNoYesDeepSeek-V4-Pro

Fields drawn from vendor public documentation and the Modelspectra 22-model dataset; speed varies with network, concurrency and prompt length. Verify current pricing before purchase.

04

Dimension-by-dimension analysis

Reasoning & overall intelligence

Claude Opus 5 leads the overall aggregate by 10 points (87 vs 77). That is a meaningful, not marginal, edge on hard, multi-step reasoning, while DeepSeek-V4-Pro remains a strong generalist that is not out of its depth on routine work.

Agentic coding

This is a clear gap: Claude Opus 5 scores 97 against 79. On multi-file edits, SWE-style tickets and long-horizon agent loops Claude Opus 5 needs fewer correction turns; DeepSeek-V4-Pro is still competent for scripts and assisted completion but trails as task complexity rises.

Multimodal

Claude Opus 5 leads multimodal 91 vs 77. A concrete modality difference: Claude Opus 5 additionally handles image. Neither emits native video, so the comparison is about parsing images and documents, not generation.

Speed & latency

DeepSeek-V4-Pro is faster in interactive use: ~70 tok/s with 0.5s TTFT versus ~45 tok/s with 0.9s TTFT (about 1.6× the throughput). For conversational UIs where perceived responsiveness drives retention, that edge is a real product factor even when raw reasoning is lower.

Context: window vs usable recall

Nominal windows are 1M for Claude Opus 5 and 1M for DeepSeek-V4-Pro. Effective-context scores point the same way as window size — Claude Opus 5 is ahead on usable recall (97 vs 94), so prefer it for long-document work where details cannot be missed.

Price & total cost

DeepSeek-V4-Pro is the cheaper API at $0.44/$1.32 versus Claude Opus 5 at $5/$25 per 1M input/output tokens — list input is about 11.4× lower. Cache discounts (Claude Opus 5 90%) shift the effective bill, worked out below.

Chinese vs English

English: Claude Opus 5 96 vs DeepSeek-V4-Pro 82. Chinese: 80 vs 85. For Chinese-language production, DeepSeek-V4-Pro is the stronger pick. Note that non-Chinese models generally require overseas network access for their APIs.

Tool use & ecosystem

Function-calling score: Claude Opus 5 90 vs DeepSeek-V4-Pro 82, so Claude Opus 5 has the edge on structured tool use. Fine-tuning is available from DeepSeek-V4-Pro. Factor in existing SDK/plugin familiarity — switching cost often outweighs a few-point tool-use gap.

05

Cost worked example — same workload, real token math

Assume a production workload of 100M input + 30M output tokens per month, with 90% of input tokens served from cache. Figures use public list prices.

Scenario · per monthClaude Opus 5DeepSeek-V4-ProGap
List priceno cache applied$1,250100M in × $5  +  30M out × $25$84100M in × $0.44  +  30M out × $1.3214.88×gap
With caching90% of inputs cache-hit$84590M cached in × $0.5  +  10M in × $5  +  30M out × $25$84no published cache discount10.06×gap

Illustrative model; your input/output mix and cache-hit ratio change the result. Prices are list rates before any enterprise agreement.

06

Decision tree

IF the workload is agentic or multi-file coding and a wrong first pass is expensive  →  choose Claude Opus 5 (coding 97 vs 79).
IF you serve real-time users and latency is a product KPI  →  choose DeepSeek-V4-Pro (~70 tok/s, 0.5s TTFT).
IF you are cost-driven at scale on routine, high-volume workloads  →  choose DeepSeek-V4-Pro ($$0.44/$$1.32 per 1M in/out).
IF long-document recall has to be near-perfect  →  choose Claude Opus 5 (effective context 97 vs 94).
07

Frequently asked questions

Is Claude Opus 5 worth the higher price over DeepSeek-V4-Pro?
At list the input rate is 11.4x higher, but cache discounts and output pricing narrow the effective gap. Pay the premium when Claude Opus 5's stronger dimensions protect revenue; for routine volume DeepSeek-V4-Pro is the economical pick.
Which is better for agentic coding?
Claude Opus 5 is decisively stronger for coding (97 vs 79 on the aggregate). The gap shows on SWE-style multi-file tasks and long agent loops that need fewer correction turns; DeepSeek-V4-Pro is fine for routine scripts.
How do costs compare at 100M tokens/month with caching?
At 100M input + 30M output with 90% of inputs cache-hit, Claude Opus 5 is about $845/month and DeepSeek-V4-Pro about $84/month after cache discounts ($1,250 and $84 at list).
Does the bigger context window actually matter?
Nominal windows are Claude Opus 5 (1M) and DeepSeek-V4-Pro (1M), but usable recall follows the effective-context score (97 vs 94). Prefer the higher effective-context model for long-document work where nothing can be missed.
How do they differ for Chinese-language and data-residency use?
DeepSeek-V4-Pro is the Chinese model (Chinese score 85, domestic cloud, possible private deployment) while Claude Opus 5 is the global model (Chinese 80, overseas API). Pick by language quality, access path and where data must reside.
Can I self-host either model?
DeepSeek-V4-Pro ships open weights and can be self-hosted (GPU permitting) for data control; Claude Opus 5 is a closed managed API with no self-hosting. Choose open weights when residency or cost-at-scale dominates, managed API for convenience.