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DeepSeek-V4-Flash-Max vs Ling 3.1 Flash

Ling 3.1 Flash leads the LLM Stats Score 51.0 to 38.9.

DeepSeek · InclusionAI · Updated for 2026

Which is better?

Ling 3.1 Flash leads the overall LLM Stats Score 51.0 to 38.9, ranking #15 overall.

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

Choose DeepSeek-V4-Flash-Max

  • you need open weights you can self-host or fine-tune

Choose Ling 3.1 Flash

  • overall performance matters — it scores 51.0 and ranks #15 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

DeepSeek-V4-Flash-Max
DeepSeek
Ling 3.1 Flash
InclusionAI
Core performance indexes
LLM Stats Score
38.9
#70
51.0
#15
Reasoning
39.6
#67
47.5
#26
Coding
28.3
#68
38.8
#18
Agents
17.9
#83
38.0
#12
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.09 / M
— / M
Output price
$0.18 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V4-Flash-Max
Ling 3.1 Flash
Tool use
16.6#86
29.0#16
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

19 reported for DeepSeek-V4-Flash-Max · 11 for Ling 3.1 Flash

No common benchmarks found

DeepSeek-V4-Flash-Max and Ling 3.1 Flashdon'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

Model Size

Parameter count comparison

276.0B diff

Ling 3.1 Flash has 276.0B more parameters than DeepSeek-V4-Flash-Max, making it 97.2% larger.

DeepSeek
DeepSeek-V4-Flash-Max
284.0Bparameters
InclusionAI
Ling 3.1 Flash
560.0Bparameters
284.0B
DeepSeek-V4-Flash-Max
560.0B
Ling 3.1 Flash

Context Window

Maximum input and output token capacity

Only DeepSeek-V4-Flash-Max specifies input context (1,048,576 tokens). Only DeepSeek-V4-Flash-Max specifies output context (1,048,576 tokens).

DeepSeek
DeepSeek-V4-Flash-Max
Input1,048,576 tokens
Output1,048,576 tokens
InclusionAI
Ling 3.1 Flash
Input- tokens
Output- tokens
Mon Oct 12 2026 • llm-stats.com

Release Timeline

When each model was launched

DeepSeek-V4-Flash-Max was released on 2026-04-23, while Ling 3.1 Flash was released on 2026-09-30.

Ling 3.1 Flash is 5 months newer than DeepSeek-V4-Flash-Max.

DeepSeek-V4-Flash-Max

Apr 23, 2026

5 months ago

Ling 3.1 Flash

Sep 30, 2026

1 weeks ago

5mo 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

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against DeepSeek-V4-Flash-Max and Ling 3.1 Flash side-by-side, then vote on the output you prefer.

DeepSeek-V4-Flash-Max
✓ Preferred
Ling 3.1 Flash
Open in Playground

FAQ

Common questions about DeepSeek-V4-Flash-Max vs Ling 3.1 Flash.

Which is better, DeepSeek-V4-Flash-Max or Ling 3.1 Flash?

Ling 3.1 Flash leads the LLM Stats Score 51.0 to 38.9. DeepSeek-V4-Flash-Max is made by DeepSeek and Ling 3.1 Flash 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-Max compare to Ling 3.1 Flash in benchmarks?

DeepSeek-V4-Flash-Max scores CodeForces: 100.0%, HMMT Feb 26: 94.8%, LiveCodeBench: 91.6%, IMO-AnswerBench: 88.4%, GPQA: 88.1%. Ling 3.1 Flash scores CyberGym: 87.9%, DRACO: 85.5%, FrontierSWE: 75.2%, Multi-Challenge: 69.8%, SkillsBench: 68.7%.

What are the context window sizes for DeepSeek-V4-Flash-Max and Ling 3.1 Flash?

DeepSeek-V4-Flash-Max supports 1.0M tokens and Ling 3.1 Flash supports an unknown number of 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-Max and Ling 3.1 Flash?

Key differences include LLM Stats Score (38.9 vs 51.0), licensing (MIT vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Flash-Max and Ling 3.1 Flash?

DeepSeek-V4-Flash-Max is developed by DeepSeek and Ling 3.1 Flash is developed by InclusionAI.

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