โ† Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

Claude Opus 4.7 vs DeepSeek V4 Flash

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Claude Opus 4.7 and DeepSeek V4 Flash.

Anthropic

Claude Opus 4.7

Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on...

View Full Specs
DeepSeek

DeepSeek V4 Flash

DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window. It is designed for fast inference and...

View Full Specs

Technical Specifications

SpecificationClaude Opus 4.7DeepSeek V4 Flash
ProviderAnthropicDeepSeek
Context Window1,000,000 tokens1,048,576 tokens
Agent Suitability96/10086/100
Time to First Token (TTFT)480 ms120 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-162026-04-24

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 4.7

$5.00

DeepSeek V4 Flash

$0.09

Output Price per Million Tokens

Claude Opus 4.7

$25.00

DeepSeek V4 Flash

$0.18

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
9410.0%vs8240.0%
Claude Opus 4.7
DeepSeek V4 Flash
HumanEvalPython coding & logic synthesis
9610.0%vs8410.0%
Claude Opus 4.7
DeepSeek V4 Flash
MATHComplex mathematical problem solving
9150.0%vs5020.0%
Claude Opus 4.7
DeepSeek V4 Flash
GPQAGraduate-level expert reasoning
8420.0%vs3800.0%
Claude Opus 4.7
DeepSeek V4 Flash
HellaSwagCommonsense reasoning and inference
9880.0%vs8350.0%
Claude Opus 4.7
DeepSeek V4 Flash
MT-BenchMulti-turn conversation flow quality
975.0%vs875.0%
Claude Opus 4.7
DeepSeek V4 Flash

Claude Opus 4.7 Quirks & Gotchas

  • โ–ธTop-tier agentic coding model โ€” excels at autonomous software engineering
  • โ–ธRequires explicit tool_choice parameter for parallel function calling to work reliably

DeepSeek V4 Flash Quirks & Gotchas

  • โ–ธBest cost-per-token ratio of any hosted API โ€” ideal for high-throughput pipelines
  • โ–ธLower agentic performance vs V4 Pro โ€” route complex tool calls accordingly