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Claude Haiku 5.5 vs Ling 3.1 Flash

Claude Haiku 5.5 and Ling 3.1 Flash are closely matched at 50.3 and 51.1 on the LLM Stats Score.

Anthropic · InclusionAI · Updated for 2026

Which is better?

Claude Haiku 5.5 and Ling 3.1 Flash are closely matched on the overall LLM Stats Score at 50.3 and 51.1.

In the 3 individual benchmarks reported for both models, Ling 3.1 Flash wins 3; this is a narrower head-to-head signal than the composite indexes.

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

Choose Claude Haiku 5.5

  • you want the most recent training data — it shipped Oct 2026

Choose Ling 3.1 Flash

  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results

At a glance

The differences that matter most.

Claude Haiku 5.5
Anthropic
Ling 3.1 Flash
InclusionAI
Core performance indexes
LLM Stats Score
50.3
#18
51.1
#14
Reasoning
47.4
#26
47.7
#25
Coding
40.7
#13
39.2
#17
Agents
33.7
#27
38.3
#11
Cost, coverage & limits
Benchmark wins
0 of 3
3 of 3
Input price
$0.10 / M
— / M
Output price
$0.50 / M
— / M
Context window
1,000,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Claude Haiku 5.5
Ling 3.1 Flash
Tool use
20.8#57
29.0#13
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

36 reported for Claude Haiku 5.5 · 11 for Ling 3.1 Flash

3 shared

Claude Haiku 5.5 outperforms in 0 benchmarks, while Ling 3.1 Flash is better at 3 benchmarks (GDPval-AA 2.1, HealthBench Professional, Terminal-Bench 4.0).

Ling 3.1 Flash significantly outperforms across most benchmarks.

Wed Oct 07 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Claude Haiku 5.5 specifies input context (1,000,000 tokens). Only Claude Haiku 5.5 specifies output context (128,000 tokens).

Anthropic
Claude Haiku 5.5
Input1,000,000 tokens
Output128,000 tokens
InclusionAI
Ling 3.1 Flash
Input- tokens
Output- tokens
Wed Oct 07 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Claude Haiku 5.5 supports multimodal inputs, whereas Ling 3.1 Flash does not.

Claude Haiku 5.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Claude Haiku 5.5

Text
Images
Audio
Video

Ling 3.1 Flash

Text
Images
Audio
Video

Release Timeline

When each model was launched

Claude Haiku 5.5 was released on 2026-10-07, while Ling 3.1 Flash was released on 2026-09-30.

Claude Haiku 5.5 is 0 month newer than Ling 3.1 Flash.

Claude Haiku 5.5

Oct 7, 2026

0 days ago

1w newer
Ling 3.1 Flash

Sep 30, 2026

1 weeks ago

Knowledge Cutoff

When training data ends

Claude Haiku 5.5 has a documented knowledge cutoff of 2026-06-01, while Ling 3.1 Flash's cutoff date is not specified.

We can confirm Claude Haiku 5.5's training data extends to 2026-06-01, but cannot make a direct comparison without Ling 3.1 Flash's cutoff date.

Claude Haiku 5.5

Jun 2026

Ling 3.1 Flash

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Claude Haiku 5.5 and Ling 3.1 Flash side-by-side, then vote on the output you prefer.

Claude Haiku 5.5
✓ Preferred
Ling 3.1 Flash
Open in Playground

FAQ

Common questions about Claude Haiku 5.5 vs Ling 3.1 Flash.

Which is better, Claude Haiku 5.5 or Ling 3.1 Flash?

Claude Haiku 5.5 and Ling 3.1 Flash are closely matched on the LLM Stats Score at 50.3 and 51.1. Claude Haiku 5.5 is made by Anthropic 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 Claude Haiku 5.5 compare to Ling 3.1 Flash in benchmarks?

Claude Haiku 5.5 scores Global-MMLU: 87.8%, MILU: 87.6%, BenchCAD (with Python tool): 87.0%, Chartography: 86.2%, SWE-bench Multilingual: 83.7%. 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 Claude Haiku 5.5 and Ling 3.1 Flash?

Claude Haiku 5.5 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 Claude Haiku 5.5 and Ling 3.1 Flash?

Key differences include LLM Stats Score (50.3 vs 51.1), multimodal support (yes vs no), licensing (Proprietary vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude Haiku 5.5 and Ling 3.1 Flash?

Claude Haiku 5.5 is developed by Anthropic and Ling 3.1 Flash is developed by InclusionAI.

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