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DeepSeek V4 Flash Vision Exp vs GPT-6 Astra Pro

Detailed technical comparison between DeepSeek V4 Flash Vision Exp (DeepSeek) and GPT-6 Astra Pro (OpenAI). 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

DeepSeek V4 Flash Vision Exp: 0 WinsvsGPT-6 Astra Pro: 6 Wins
Context Leader

GPT-6 Astra Pro

1,050,000 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

DeepSeek V4 Flash Vision Exp

$0.22 / MTok
DeepSeekactive

DeepSeek V4 Flash Vision Exp

DeepSeek V4 Flash Vision Exp is an advanced artificial intelligence model engineered by DeepSeek. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, DeepSeek V4 Flash Vision Exp represents a key architectural iteration in the DeepSeek model family. First released in 2026-08-21, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 1,048,576 tokens (approximately 1,398 words), DeepSeek V4 Flash Vision Exp processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.

View DeepSeek V4 Flash Vision Exp Full Specs →
OpenAIactive

GPT-6 Astra Pro

GPT-6 Astra Pro is an advanced artificial intelligence model engineered by OpenAI. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, GPT-6 Astra Pro represents a key architectural iteration in the OpenAI model family. First released in 2026-09-04, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 1,050,000 tokens (approximately 1,400 words), GPT-6 Astra Pro processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.

View GPT-6 Astra Pro Full Specs →

Technical Specifications

🏆 = Superior Spec
SpecificationDeepSeek V4 Flash Vision ExpGPT-6 Astra Pro
ProviderDeepSeekOpenAI
Context Window1,048,576 tokens1,050,000 tokens🏆
Agent SuitabilityNot yet benchmarkedNot yet benchmarked
Time to First Token (TTFT)No public TTFT dataNo public TTFT data
Deployment Modelself hostablemanaged api
Production StabilityBeta Access (est.)Beta Access (est.)
API AvailableYesYes
Released Date2026-08-212026-09-04

API Pricing Comparison

Input Price per Million Tokens

DeepSeek V4 Flash Vision Exp

$0.22

GPT-6 Astra Pro

$10.00

Output Price per Million Tokens

DeepSeek V4 Flash Vision Exp

$0.65

GPT-6 Astra Pro

$50.00

💡 Cost Ratio: DeepSeek V4 Flash Vision Exp is 46.4x cheaper per input token than GPT-6 Astra Pro.

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.

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
74.2%vs96.2%+22.0% GPT-6 Astra Pro
DeepSeek V4 Flash Vision Exp
GPT-6 Astra Pro 🏆
HumanEvalPython coding & logic synthesis
70.4%vs97.4%+27.0% GPT-6 Astra Pro
DeepSeek V4 Flash Vision Exp
GPT-6 Astra Pro 🏆
MATHComplex mathematical problem solving
43.6%vs95.8%+52.2% GPT-6 Astra Pro
DeepSeek V4 Flash Vision Exp
GPT-6 Astra Pro 🏆
GPQAGraduate-level expert reasoning
31.0%vs88.5%+57.5% GPT-6 Astra Pro
DeepSeek V4 Flash Vision Exp
GPT-6 Astra Pro 🏆
HellaSwagCommonsense reasoning and inference
78.2%vs99.1%+20.9% GPT-6 Astra Pro
DeepSeek V4 Flash Vision Exp
GPT-6 Astra Pro 🏆
MT-BenchMulti-turn conversation flow quality
8.1%vs9.8%+1.7% GPT-6 Astra Pro
DeepSeek V4 Flash Vision Exp
GPT-6 Astra Pro 🏆

DeepSeek V4 Flash Vision Exp Quirks & Gotchas

No developer gotchas reported.

GPT-6 Astra Pro Quirks & Gotchas

No developer gotchas reported.

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