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Claude Opus 5 vs DeepSeek V3.1

Detailed technical comparison between Claude Opus 5 (Anthropic) and DeepSeek V3.1 (DeepSeek). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

⚡ Executive Summary & Verdict

Comparison Snapshot

Claude Opus 5: 3 WinsvsDeepSeek V3.1: 3 Wins
Context Leader

Claude Opus 5

1,000,000 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

DeepSeek V3.1

$0.25 / MTok
Anthropicactive

Claude Opus 5

Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis...

View Claude Opus 5 Full Specs →
DeepSeekactive

DeepSeek V3.1

DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 base with a two-phase long-context...

View DeepSeek V3.1 Full Specs →

Technical Specifications

🏆 = Superior Spec
SpecificationClaude Opus 5DeepSeek V3.1
ProviderAnthropicDeepSeek
Context Window1,000,000 tokens🏆163,840 tokens
Agent SuitabilityNot yet benchmarkedNot yet benchmarked
Time to First Token (TTFT)No public TTFT dataNo public TTFT data
Deployment Modelmanaged apiself hostable
Production StabilityBeta Access (est.)Stable GA (est.)
API AvailableYesYes
Released Date2026-07-242025-08-21

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 5

$5.00

DeepSeek V3.1

$0.25

Output Price per Million Tokens

Claude Opus 5

$25.00

DeepSeek V3.1

$0.95

💡 Cost Ratio: DeepSeek V3.1 is 20.0x cheaper per input token than Claude Opus 5.

Want to test both models live?

Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.

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Benchmark Performance Metrics

Standardized Scores (0–100%)

Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.

MMLUGeneral knowledge & multi-task understanding
81.2%vs80.0%+1.2% Claude Opus 5
Claude Opus 5 🏆
DeepSeek V3.1
HumanEvalPython coding & logic synthesis
79.4%vs78.2%+1.2% Claude Opus 5
Claude Opus 5 🏆
DeepSeek V3.1
MATHComplex mathematical problem solving
56.6%vs55.4%+1.2% Claude Opus 5
Claude Opus 5 🏆
DeepSeek V3.1
GPQAGraduate-level expert reasoning
38.6%vs40.8%+2.2% DeepSeek V3.1
Claude Opus 5
DeepSeek V3.1 🏆
HellaSwagCommonsense reasoning and inference
80.8%vs83.0%+2.2% DeepSeek V3.1
Claude Opus 5
DeepSeek V3.1 🏆
MT-BenchMulti-turn conversation flow quality
8.3%vs8.6%+0.2% DeepSeek V3.1
Claude Opus 5
DeepSeek V3.1 🏆

Claude Opus 5 Quirks & Gotchas

No developer gotchas reported.

DeepSeek V3.1 Quirks & Gotchas

No developer gotchas reported.

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