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Claude Sonnet 4.6 vs Ling 3.1 Flash

Ling 3.1 Flash leads the LLM Stats Score 51.0 to 36.7.

Anthropic · InclusionAI · Updated for 2026

Which is better?

Ling 3.1 Flash leads the overall LLM Stats Score 51.0 to 36.7, ranking #15 overall.

In the 1 individual benchmarks reported for both models, Ling 3.1 Flash wins 1; 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 Sonnet 4.6

  • you want predictable pricing at $3.00/M input and $15.00/M output

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 value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Claude Sonnet 4.6
Anthropic
Ling 3.1 Flash
InclusionAI
Core performance indexes
LLM Stats Score
36.7
#85
51.0
#15
Reasoning
37.8
#76
47.5
#26
Coding
25.0
#81
38.8
#18
Agents
23.5
#65
38.0
#12
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$3.00 / M
— / M
Output price
$15.00 / M
— / M
Context window
200,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Claude Sonnet 4.6
Ling 3.1 Flash
Tool use
20.2#60
29.0#16
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

17 reported for Claude Sonnet 4.6 · 11 for Ling 3.1 Flash

1 shared

Claude Sonnet 4.6 outperforms in 0 benchmarks, while Ling 3.1 Flash is better at 1 benchmark (Finance Agent v2).

Ling 3.1 Flash significantly outperforms across most benchmarks.

Thu Oct 08 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 Sonnet 4.6 specifies input context (200,000 tokens). Only Claude Sonnet 4.6 specifies output context (64,000 tokens).

Anthropic
Claude Sonnet 4.6
Input200,000 tokens
Output64,000 tokens
InclusionAI
Ling 3.1 Flash
Input- tokens
Output- tokens
Thu Oct 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Claude Sonnet 4.6 supports multimodal inputs, whereas Ling 3.1 Flash does not.

Claude Sonnet 4.6 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Claude Sonnet 4.6

Text
Images
Audio
Video

Ling 3.1 Flash

Text
Images
Audio
Video

Release Timeline

When each model was launched

Claude Sonnet 4.6 was released on 2026-02-17, while Ling 3.1 Flash was released on 2026-09-30.

Ling 3.1 Flash is 8 months newer than Claude Sonnet 4.6.

Claude Sonnet 4.6

Feb 17, 2026

7 months ago

Ling 3.1 Flash

Sep 30, 2026

1 weeks ago

7mo 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 Claude Sonnet 4.6 and Ling 3.1 Flash side-by-side, then vote on the output you prefer.

Claude Sonnet 4.6
✓ Preferred
Ling 3.1 Flash
Open in Playground

FAQ

Common questions about Claude Sonnet 4.6 vs Ling 3.1 Flash.

Which is better, Claude Sonnet 4.6 or Ling 3.1 Flash?

Ling 3.1 Flash leads the LLM Stats Score 51.0 to 36.7. Claude Sonnet 4.6 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 Sonnet 4.6 compare to Ling 3.1 Flash in benchmarks?

Claude Sonnet 4.6 scores Tau2 Telecom: 97.9%, Tau2 Retail: 91.7%, GPQA: 89.9%, MMMLU: 89.3%, SWE-Bench Verified: 79.6%. 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 Sonnet 4.6 and Ling 3.1 Flash?

Claude Sonnet 4.6 supports 200K 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 Sonnet 4.6 and Ling 3.1 Flash?

Key differences include LLM Stats Score (36.7 vs 51.0), multimodal support (yes vs no), licensing (Proprietary vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude Sonnet 4.6 and Ling 3.1 Flash?

Claude Sonnet 4.6 is developed by Anthropic and Ling 3.1 Flash is developed by InclusionAI.

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