AI model comparison

Ling 3.0 Flash Fin vs DeepSeek V4 Flash 0423

Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.

Ling 3.0 Flash Fin is a finance-focused mixture-of-experts model from InclusionAI, built on Ling 3.0 Flash with 5.1B active parameters out of 124B total.

Input / 1M
$0.04
Output / 1M
$0.12
Context
262K

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.

Input / 1M
$0.01
Output / 1M
$1.28
Context
1.05M

At a glance

Quick verdict

How the two models stack up on the things people ask about most.

Lower price

inclusionai logo

Ling 3.0 Flash Fin

4.5x cheaper for a typical chat

Higher intelligence score

deepseek logo

DeepSeek V4 Flash 0423

24.4 vs 22.6 on Artificial Analysis

Larger context window

deepseek logo

DeepSeek V4 Flash 0423

1.05M vs 262K tokens

Newer release

inclusionai logo

Ling 3.0 Flash Fin

Released August 27, 2026

Benchmarks

Benchmark scores

Independent scores from Artificial Analysis. Higher is better.

Intelligence index

inclusionai logoLing 3.0 Flash Fin22.6
deepseek logoDeepSeek V4 Flash 042324.4

Coding index

inclusionai logoLing 3.0 Flash Fin55.6
deepseek logoDeepSeek V4 Flash 042352

Agentic index

inclusionai logoLing 3.0 Flash Fin27.9
deepseek logoDeepSeek V4 Flash 042326.3

Pricing

Ling 3.0 Flash Fin vs DeepSeek V4 Flash 0423 API pricing

Per-token API rates. Cheaper option highlighted.

Metricinclusionai logoLing 3.0 Flash Findeepseek logoDeepSeek V4 Flash 0423
Input tokensPer 1M tokens$0.04$0.01
Output tokensPer 1M tokens$0.12$1.28
Cached input (read)Per 1M tokens$0.01$0.01
Cache writePer 1M tokensNot availableNot available

What it costs in practice

Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.

Chat message

2K in, 500 out

inclusionai logoLing 3.0 Flash Fin$0.15
deepseek logoDeepSeek V4 Flash 0423$0.66

Coding task

30K in, 4K out

inclusionai logoLing 3.0 Flash Fin$1.75$0.74 cached
deepseek logoDeepSeek V4 Flash 0423$5.42$5.42 cached

Long document summary

150K in, 2K out

inclusionai logoLing 3.0 Flash Fin$6.55$1.51 cached
deepseek logoDeepSeek V4 Flash 0423$4.05$4.05 cached

Specs

Context window and capabilities

How much each model can read, how much it can write, and what it accepts as input.

Metricinclusionai logoLing 3.0 Flash Findeepseek logoDeepSeek V4 Flash 0423
Context window262K tokens1.05M tokens
Max output33K tokens944K tokens
Input typesTextText
Output typesTextText
Reasoning effort levelsNot availableExtra high, High
Default reasoning effortNot availableHigh
Release dateAugust 27, 2026April 24, 2026

Features

Supported features

API features available for each model.

Metricinclusionai logoLing 3.0 Flash Findeepseek logoDeepSeek V4 Flash 0423
Tool callingSupportedSupported
Structured outputsNot supportedSupported
JSON modeNot supportedSupported
ReasoningSupportedSupported
TemperatureSupportedSupported
Stop sequencesSupportedSupported
Deterministic seedSupportedSupported
Verbosity controlNot supportedNot supported

Our take

Ling 3.0 Flash Fin is 4.5x cheaper for a typical chat. DeepSeek V4 Flash 0423 scores higher on the Artificial Analysis Intelligence Index (24.4 vs 22.6). DeepSeek V4 Flash 0423 has the larger context window (1.05M vs 262K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.

FAQ

Frequently asked questions

Is Ling 3.0 Flash Fin or DeepSeek V4 Flash 0423 cheaper?

Ling 3.0 Flash Fin is cheaper for a typical chat (2K input tokens and 500 output tokens). Ling 3.0 Flash Fin costs $0.04 per 1M input tokens and $0.12 per 1M output tokens, while DeepSeek V4 Flash 0423 costs $0.01 per 1M input tokens and $1.28 per 1M output tokens.

Which has a bigger context window, Ling 3.0 Flash Fin or DeepSeek V4 Flash 0423?

DeepSeek V4 Flash 0423 supports up to 1.05M tokens of context, compared with 262K for Ling 3.0 Flash Fin.

Is Ling 3.0 Flash Fin smarter than DeepSeek V4 Flash 0423?

On the Artificial Analysis Intelligence Index, Ling 3.0 Flash Fin scores 22.6 and DeepSeek V4 Flash 0423 scores 24.4, putting DeepSeek V4 Flash 0423 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.

Can I use Ling 3.0 Flash Fin and DeepSeek V4 Flash 0423 at the same time?

Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Ling 3.0 Flash Fin and DeepSeek V4 Flash 0423 answer side by side and keep the better response.

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Why choose? Ask both.

Send one prompt to Ling 3.0 Flash Fin and DeepSeek V4 Flash 0423 at the same time. Compare the answers side by side and keep the best one.