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DeepSeek-V4-Flash-0423 vs Ling 3.0 Flash Fin

Ling 3.0 Flash Fin leads the LLM Stats Score 42.9 to 36.1. Ling 3.0 Flash Fin is 1.3x cheaper per token.

DeepSeek · InclusionAI · Updated for 2026

Which is better?

Ling 3.0 Flash Fin leads the overall LLM Stats Score 42.9 to 36.1, ranking #48 overall.

On price, Ling 3.0 Flash Fin is roughly 1.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek-V4-Flash-0423 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek-V4-Flash-0423

  • you process long inputs — it offers a 1,048,576 token context window
  • you need open weights you can self-host or fine-tune

Choose Ling 3.0 Flash Fin

  • overall performance matters — it scores 42.9 and ranks #48 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes
  • cost matters — it's about 1.3x cheaper per token
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

DeepSeek-V4-Flash-0423
DeepSeek
Ling 3.0 Flash Fin
InclusionAI
Core performance indexes
LLM Stats Score
36.1
#84
42.9
#48
Reasoning
37.0
#74
44.1
#37
Agents
15.8
#85
29.0
#42
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.09 / M
$0.06 / M
Output price
$0.18 / M
$0.18 / M
Context window
1,048,576
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V4-Flash-0423
Ling 3.0 Flash Fin
Tool use
15.4#87
18.9#64
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

19 reported for DeepSeek-V4-Flash-0423 · 6 for Ling 3.0 Flash Fin

No common benchmarks found

DeepSeek-V4-Flash-0423 and Ling 3.0 Flash Findon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Ling 3.0 Flash Fin costs less

For input processing, DeepSeek-V4-Flash-0423 ($0.09/1M tokens) is 1.5x more expensive than Ling 3.0 Flash Fin ($0.06/1M tokens).

For output processing, DeepSeek-V4-Flash-0423 ($0.18/1M tokens) costs the same as Ling 3.0 Flash Fin ($0.18/1M tokens).

In conclusion, DeepSeek-V4-Flash-0423 is more expensive than Ling 3.0 Flash Fin.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Sep 22 2026 • llm-stats.com
DeepSeek
DeepSeek-V4-Flash-0423
Input tokens$0.09
Output tokens$0.18
Best providerDeepinfra
InclusionAI
Ling 3.0 Flash Fin
Input tokens$0.06
Output tokens$0.18
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

160.0B diff

DeepSeek-V4-Flash-0423 has 160.0B more parameters than Ling 3.0 Flash Fin, making it 129.0% larger.

DeepSeek
DeepSeek-V4-Flash-0423
284.0Bparameters
InclusionAI
Ling 3.0 Flash Fin
124.0Bparameters
284.0B
DeepSeek-V4-Flash-0423
124.0B
Ling 3.0 Flash Fin

Context Window

Maximum input and output token capacity

DeepSeek-V4-Flash-0423 accepts 1,048,576 input tokens compared to Ling 3.0 Flash Fin's 262,144 tokens. DeepSeek-V4-Flash-0423 can generate longer responses up to 1,048,576 tokens, while Ling 3.0 Flash Fin is limited to 262,144 tokens.

DeepSeek
DeepSeek-V4-Flash-0423
Input1,048,576 tokens
Output1,048,576 tokens
InclusionAI
Ling 3.0 Flash Fin
Input262,144 tokens
Output262,144 tokens
Tue Sep 22 2026 • llm-stats.com

Release Timeline

When each model was launched

DeepSeek-V4-Flash-0423 was released on 2026-04-23, while Ling 3.0 Flash Fin was released on 2026-09-03.

Ling 3.0 Flash Fin is 4 months newer than DeepSeek-V4-Flash-0423.

DeepSeek-V4-Flash-0423

Apr 23, 2026

5 months ago

Ling 3.0 Flash Fin

Sep 3, 2026

2 weeks ago

4mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

DeepSeek-V4-Flash-0423 is available from DeepInfra, Novita. Ling 3.0 Flash Fin is available from DeepInfra.

DeepSeek-V4-Flash-0423

deepinfra logo
Deepinfra
Input Price:Input: $0.09/1MOutput Price:Output: $0.18/1M
novita logo
Novita
Input Price:Input: $0.14/1MOutput Price:Output: $0.28/1M

Ling 3.0 Flash Fin

deepinfra logo
Deepinfra
Input Price:Input: $0.06/1MOutput Price:Output: $0.18/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek-V4-Flash-0423 and Ling 3.0 Flash Fin side-by-side, then vote on the output you prefer.

DeepSeek-V4-Flash-0423
✓ Preferred
Ling 3.0 Flash Fin
Open in Playground

FAQ

Common questions about DeepSeek-V4-Flash-0423 vs Ling 3.0 Flash Fin.

Which is better, DeepSeek-V4-Flash-0423 or Ling 3.0 Flash Fin?

Ling 3.0 Flash Fin leads the LLM Stats Score 42.9 to 36.1. DeepSeek-V4-Flash-0423 is made by DeepSeek and Ling 3.0 Flash Fin is made by InclusionAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek-V4-Flash-0423 compare to Ling 3.0 Flash Fin in benchmarks?

DeepSeek-V4-Flash-0423 scores CodeForces: 93.9%, HMMT Feb 26: 91.9%, LiveCodeBench: 88.4%, GPQA: 87.4%, MMLU-Pro: 86.4%. Ling 3.0 Flash Fin scores SpreadSheetBench-v1: 86.5%, Finance Agent v1.1: 69.2%, Finance Agent v2: 59.8%, Tau3 Banking: 41.0%, APEX-Agents: 29.2%.

Is DeepSeek-V4-Flash-0423 cheaper than Ling 3.0 Flash Fin?

Ling 3.0 Flash Fin is 1.5x cheaper for input tokens. DeepSeek-V4-Flash-0423 costs $0.09/M input and $0.18/M output via deepinfra. Ling 3.0 Flash Fin costs $0.06/M input and $0.18/M output via deepinfra.

What are the context window sizes for DeepSeek-V4-Flash-0423 and Ling 3.0 Flash Fin?

DeepSeek-V4-Flash-0423 supports 1.0M tokens and Ling 3.0 Flash Fin supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V4-Flash-0423 and Ling 3.0 Flash Fin?

Key differences include LLM Stats Score (36.1 vs 42.9), context window (1.0M vs 262K), input pricing ($0.09 vs $0.06/M), licensing (MIT vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Flash-0423 and Ling 3.0 Flash Fin?

DeepSeek-V4-Flash-0423 is developed by DeepSeek and Ling 3.0 Flash Fin is developed by InclusionAI.

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