AI Models · Open-Source vs Paid

DeepSeek V4 Flash Open vs GPT-5 Mini Paid

DeepSeek V4 Flash vs GPT-5 Mini compared — price per token, context window, multimodality, openness and which to choose. Can the open-source model replace the paid one? Full 2026 breakdown.

Prices & specs refreshed from live data · OpenSourceAI.tech

Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.

Choose DeepSeek V4 Flash if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose GPT-5 Mini if you want frontier capability through a managed API with zero infrastructure to run.

DeepSeek V4 Flash vs GPT-5 Mini specs

SpecDeepSeek V4 FlashGPT-5 Mini
MakerDeepSeekOpenAI
TypeOpen-weightProprietary
Context window1M tokens400K tokens
Input price$0.09/M · free self-host$0.25/M
Output price$0.19/M · free self-host$2/M
Vision / multimodalNoYes
Tool / function callingYesYes
Self-hostableYesNo (API only)
LicenseMITProprietary

Feature comparison

CapabilityDeepSeek V4 FlashGPT-5 Mini
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: DeepSeek V4 Flash vs GPT-5 Mini

Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).

DeepSeek V4 Flash delivers 5.1× more intelligence per dollar.
DeepSeek V4 Flash
GPT-5 Mini
Intelligence index
40.3
30.9
Coding index
56.2
GPQA
89.4%
80.3%
Humanity's Last Exam
32.1%
14.6%
Long Context Reasoning
63%
66%
SciCode
44.9%
41%
IFBench
79.2%
71.2%
τ²-Bench
95%
71.1%
τ-Bench Banking
22.9%
Terminal-Bench
61.8%
Terminal-Bench Hard
35.6%
28.8%
Math index
85
MMLU-Pro
82.8%
LiveCodeBench
69.2%
AIME 2025
85%
Speed
112.7 tok/s
100.9 tok/s
Latency
0.88s
18.52s
Intelligence per $
230.3
44.9

Benchmark data by Artificial Analysis.

How DeepSeek V4 Flash and GPT-5 Mini score

🏆 Best value & openness: DeepSeek V4 Flash (4.7 vs 3.3 / 5)
CriterionDeepSeek V4 FlashGPT-5 Mini
Cost-efficiency5.04.5
Context window5.04.5
Openness5.01.5
Self-hosting5.01.0
Multimodality3.55.0

Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.

What each model is

DeepSeek V4 Flash Open

DeepSeek · Open-weight

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...

GPT-5 Mini Paid

OpenAI · Proprietary

GPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but with reduced latency and cost....

Other models in these families

These variants are tracked but not compared here — one page per family keeps the comparison readable.

Other variants tracked
DeepSeek V4 ProDeepSeek V3.2DeepSeek V3.1DeepSeek V3.1 TerminusDeepSeek V3 0324DeepSeek V3DeepSeek V3.2 ExpR1 0528R1
Other variants tracked
GPT-5.4 Mini

Frequently asked questions

Is DeepSeek V4 Flash as good as GPT-5 Mini?

DeepSeek V4 Flash is open-weight and competitive on many tasks, but GPT-5 Mini may still lead on the hardest reasoning and agentic work. The gap keeps narrowing — benchmark both on your actual use case before deciding.

Can I run DeepSeek V4 Flash locally?

Yes. DeepSeek V4 Flash has open weights, so you can self-host it on your own GPUs or run it via a low-cost API. GPT-5 Mini is API-only and cannot be self-hosted.

How much cheaper is DeepSeek V4 Flash?

DeepSeek V4 Flash costs $0.19/M output vs $2/M for GPT-5 Mini — roughly 11x cheaper via API, and free if you self-host.

DeepSeek V4 Flash vs GPT-5 Mini — which should I pick in 2026?

Choose DeepSeek V4 Flash if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose GPT-5 Mini if you want frontier capability through a managed API with zero infrastructure to run.

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