Models

DeepSeek V4 Flash vs GPT 5.2

Compare DeepSeek V4 Flash from DeepSeek and GPT 5.2 from OpenAI on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.

DeepSeekDeepSeek V4 FlashOpenAIGPT 5.2
DeepSeek logo
DeepSeek V4 Flash
DeepSeek · text → text

DeepSeek V4 Flash 0423 is DeepSeek's efficiency-optimized Mixture-of-Experts text model, designed for fast inference and workflows requiring tool use, function calling, and structured outputs. It features 284B total parameters with 13B activated parameters and supports a 1M-token context window with cost-effective pricing.

Input$0.464 /M
Output$0.928 /M
Cache read$0.0039 /M
OpenAI logo
GPT 5.2
OpenAI · text, image, pdf → text

GPT‑5.2 builds on GPT‑5.1 with improvements that make interactions more reliable, flexible, and user-friendly. The focus is on delivering clearer responses, better adaptability, and enhanced control for diverse tasks. Key highlights include: Accelerate agent development: Build AI agents for analytics, decision support, code modernization, and data pipelines. Greater consistency: Produces more predictable and accurate outputs aligned with user instructions. Adaptive reasoning: Handles complex queries with improved depth while remaining efficient for simpler tasks. Expanded context handling: Supports longer inputs for multi-step workflows and richer conversations. Refined customization: Offers better control over tone, style, and structured output for tailored experiences. Broader applicability: Strengthens performance across a wide range of domains while maintaining clarity and safety.

Input$1.75 /M
Output$14 /M
Cache read$0.175 /M

Pricing & Specifications

Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.

DeepSeek V4 Flash
GPT 5.2
Input /M
$0.464
$1.75
Output /M
$0.928
$14
Cache read /M
$0.0039
$0.175
Context length
1,000,000
400,000
Max output
0
128,000
Time to First Token
0.7 s
-
Throughput
59.0 tok/s
-
Modalities
text
textimagepdf
Supported Parameters
toolsfunction callingstructured outputs
thinkingwebfunction callingstructured outputstools
API Formats
Released
-
-

Promotional prices show the discounted rate; see each model page for promotion windows.

Activity Past 30 Days

Daily traffic served through AIHubMix — how demand for each model is trending.

deepseek-v4-flashgpt-5.2

Tokens / day

-

Requests / day

-

Performance Past 3 Days

Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.

deepseek-v4-flashgpt-5.2

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

-

LMArena Benchmarks

LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.

Text
deepseek-v4-flashgpt-5.2
1380142014601500
Overall
14111431
Coding
14331452
Math
14191428
Instruction following
14021420
Longer query
14121435
Chinese
14521467
English
14121439

Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.

Cost calculator

Estimate your monthly bill for the same workload on each model.

DeepSeek V4 Flash
$41.76 /mo
GPT 5.2
$315 /mo

Monthly = daily × 30. Discounted rates applied where a promotion is active.

FAQ

Which is cheaper: DeepSeek V4 Flash, GPT 5.2?

DeepSeek V4 Flash: $0.928/M output tokens; GPT 5.2: $14/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

DeepSeek V4 Flash: 1452; GPT 5.2: 1433 (LMArena coding leaderboard).

How large is each context window?

DeepSeek V4 Flash accepts 1,000,000 and GPT 5.2 accepts 400,000 input tokens.

What inputs and capabilities does each model support?

DeepSeek V4 Flash accepts text input and supports tool calling, function calling and structured outputs; GPT 5.2 accepts text, image and PDF input and supports thinking, web search, function calling, structured outputs and tool calling.

Can I call DeepSeek V4 Flash and GPT 5.2 with the same API key?

Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.

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