Models

DeepSeek V4 Flash vs GPT 4.1 Nano

Compare DeepSeek V4 Flash from DeepSeek and GPT 4.1 Nano 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 4.1 Nano
DeepSeek logo
DeepSeek V4 Flash
DeepSeek · text → text

(This model currently points to the older 0423 version; if you need to request the latest version, you can choose the model deepseek-v4-flash-0731)DeepSeek-V4 features an ultra-long context of one million characters and achieves leading performance domestically and in the open-source domain in agent capabilities, world knowledge, and reasoning.

Input$0.142 /M
Output$0.284 /M
Cache read$0.0284 /M
OpenAI logo
GPT 4.1 Nano
OpenAI · text, image, pdf → text

Ultra-lightweight model with million-token context, optimized for speed and low latency, costing only $0.10 per million input tokens. It is suitable for edge computing and real-time interaction. The automatic caching mechanism offers a 75% cost reduction on cache hits.

Input$0.1 /M
Output$0.4 /M
Cache read$0.025 /M

Pricing & Specifications

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

DeepSeek V4 Flash
GPT 4.1 Nano
Input /M
$0.142
$0.1
Output /M
$0.284
$0.4
Cache read /M
$0.0284
$0.025
Context length
1,000,000
1,047,576
Max output
384,000
32,768
Time to First Token
1.0 s
0.7 s
Throughput
66.4 tok/s
72.7 tok/s
Modalities
text
textimagepdf
Supported Parameters
toolsfunction callingstructured outputsthinking
toolsfunction callingstructured outputslong context
API Formats
chat_completions · claude_api
Released
April 24, 2026
April 14, 2025

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-4.1-nano

Tokens / day

-

Requests / day

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Performance Past 3 Days

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

deepseek-v4-flashgpt-4.1-nano

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

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LMArena Benchmarks

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

Text
deepseek-v4-flashgpt-4.1-nano
1240132014001480
Overall
13221436
Coding
13741483
Math
12741426
Hard prompts
13331459
Instruction following
13001428
Multi-turn
13141452
Creative writing
13071408
Longer query
13251448
Chinese
13201473
English
13401445

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.

GPT 4.1 Nano
$12.00 /mo
DeepSeek V4 Flash
$12.78 /mo

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

FAQ

Which is cheaper: DeepSeek V4 Flash, GPT 4.1 Nano?

DeepSeek V4 Flash: $0.284/M output tokens; GPT 4.1 Nano: $0.4/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

DeepSeek V4 Flash: 1483; GPT 4.1 Nano: 1374 (LMArena coding leaderboard).

Which responds faster?

GPT 4.1 Nano: 0.7s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.

How large is each context window?

DeepSeek V4 Flash accepts 1,000,000 and GPT 4.1 Nano accepts 1,047,576 input tokens. Maximum output per request is 384,000 tokens on DeepSeek V4 Flash and 32,768 tokens on GPT 4.1 Nano.

Which one generates tokens faster?

GPT 4.1 Nano at 72.7 tok/s and DeepSeek V4 Flash at 66.4 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.

What inputs and capabilities does each model support?

DeepSeek V4 Flash accepts text input and supports tool calling, function calling, structured outputs and thinking; GPT 4.1 Nano accepts text, image and PDF input and supports tool calling, function calling, structured outputs and long context.

Can I call DeepSeek V4 Flash and GPT 4.1 Nano 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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