DeepSeek V4 Pro vs Claude Opus 4.7

DeepSeek V4 Pro from DeepSeek and Claude Opus 4.7 from Anthropic are shown side by side so you can compare pricing, model IDs, context and output limits, modalities, tool use, release details, and benchmark results where data is available.

Overall Recommendation

Claude Opus 4.7 is the stronger capability default, leading TokenHub’s Intelligence and Coding indexes and adding image and PDF input. Choose DeepSeek V4 Pro for lower text-token cost and three times the maximum output.

Recommendation based on DeepSeek V4 Pro (Reasoning, Max Effort) vs Claude Opus 4.7 (Adaptive Reasoning, Max Effort).

Comparison Highlights

DeepSeek V4 ProDeepSeek
Claude Opus 4.7Anthropic
Best For
Long-context reasoningcodebase analysiscost control
Advanced engineeringautonomous agentsdifficult knowledge work
How To Read ItUse-case synthesis from model capabilities and positioning.
Workload Fit
ReasoningCodingLong context
EngineeringAutonomyEnterprise
How To Read ItThe workloads each model is most directly shaped for.
Input
$1.2857/MEdge
$5/M
How To Read ItLower is better when prompts or retrieval payloads are large.
Output
$3.8571/MEdge
$25/M
How To Read ItLower is better for reasoning-heavy or long-generation traffic.
Context length
1M
1M
How To Read ItHigher is better for repositories, retrieval packs, and transcripts.
Input modalities
Text
Image, PDF, TextEdge
How To Read ItBroader input support reduces the need for separate vision or video models.

Model Selection Guide

DeepSeek V4 ProDeepSeek

Choose DeepSeek V4 Pro When

  • A 44.3 Intelligence Index and 47.5 Coding Index in TokenHub’s max-effort profile
  • $1.80 input and $3.50 output per million tokens
  • A 1M context window and 384K maximum output for text-only workloads
Claude Opus 4.7Anthropic

Choose Claude Opus 4.7 When

  • A 53.5 Intelligence Index and 52.5 Coding Index in TokenHub’s max-effort profile
  • $5 input and $25 output per million tokens
  • A 1M context window, 128K maximum output, and text, image, and PDF input

Basic Information

DeepSeek V4 ProDeepSeek
Claude Opus 4.7Anthropic

Name

DeepSeek V4 ProDeepSeek V4 Pro

Model id

DeepSeek V4 Prodeepseek-v4-pro

Intro

DeepSeek V4 ProDeepSeek V4 Pro is described as a large-scale Mixture-of-Experts model with 1.6T total parameters and 49B activated parameters, while keeping a 1M-token context window for very large inputs. Its model cards emphasize advanced reasoning, coding, and long-horizon agent workflows rather than simple chat. The Pro variant is the capability-oriented member of the V4 family, making it better suited to full-codebase analysis, large research synthesis, and multi-step automation where depth matters more than the lowest possible latency.

Author

DeepSeek V4 ProDeepSeek

Released date

DeepSeek V4 Pro2026-04-24

Context length

DeepSeek V4 Pro1M

Max output tokens

DeepSeek V4 Pro384K

Name

Claude Opus 4.7Claude Opus 4.7

Model id

Claude Opus 4.7claude-opus-4.7

Intro

Claude Opus 4.7Claude Opus 4.7 is described by Anthropic as a strong upgrade for advanced software engineering and difficult long-running tasks. Official messaging highlights the model’s ability to handle complicated work and verify its own outputs. It should be described around sustained engineering judgment rather than generic writing quality.

Author

Claude Opus 4.7Anthropic

Released date

Claude Opus 4.72026-04-16

Context length

Claude Opus 4.71M

Max output tokens

Claude Opus 4.7128K

Pricing

DeepSeek V4 ProDeepSeek
Claude Opus 4.7Anthropic

Input

DeepSeek V4 Pro$1.2857/M

Output

DeepSeek V4 Pro$3.8571/M

Cached input

DeepSeek V4 Pro$0.0429/M

Input

Claude Opus 4.7$5/M

Output

Claude Opus 4.7$25/M

Cached input

Claude Opus 4.7$0.5/M

Capabilities

DeepSeek V4 ProDeepSeek
Claude Opus 4.7Anthropic

Reasoning

DeepSeek V4 Pro

Knowledge

DeepSeek V4 Pro2025-05-01

Attachment

DeepSeek V4 Pro

Input modalities

DeepSeek V4 ProText

Output modalities

DeepSeek V4 ProText

Temperature

DeepSeek V4 Pro

Tool use

DeepSeek V4 Pro

Reasoning

Claude Opus 4.7

Knowledge

Claude Opus 4.72026-01-31

Attachment

Claude Opus 4.7

Input modalities

Claude Opus 4.7Image, PDF, Text

Output modalities

Claude Opus 4.7Text

Temperature

Claude Opus 4.7

Tool use

Claude Opus 4.7

Benchmark

DeepSeek V4 ProDeepSeek
Claude Opus 4.7Anthropic

Intelligence

44.3

Coding

47.5

Intelligence

wins53.5

Coding

wins52.5

Knowledge & Reasoning

GPQA

88.8%

HLE

35.9%

GPQA

wins91.4%

HLE

wins39.6%

Coding

SciCode

50%

Terminal-Bench Hard

46.2%

SciCode

wins54.5%

Terminal-Bench Hard

wins51.5%

Instruction Following & Agent Tasks

IFBench

wins76.5%

AA-LCR

66.3%

Tau2

wins96.2%

IFBench

58.6%

AA-LCR

wins70.3%

Tau2

88.6%

FAQ

Which model is better, DeepSeek V4 Pro or Claude Opus 4.7?

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DeepSeek V4 Pro and Claude Opus 4.7 should be compared by workload. This page places price, context, output limits, capabilities, and benchmark data side by side. It is also relevant to: deepseek vs claude.

Is Claude Opus 4.7 cheaper than DeepSeek V4 Pro?

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Use the pricing rows above to compare input, output, and cached input prices for DeepSeek V4 Pro and Claude Opus 4.7.

Which model supports a longer context length?

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DeepSeek V4 Pro lists 1M context length, while Claude Opus 4.7 lists 1M.

Can I access both models through TokenHub?

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If both models are available in the TokenHub catalog, you can route requests to DeepSeek V4 Pro and Claude Opus 4.7 through the TokenHub API.