The AI arena is free today

Open Superagent

Ling 3.0 Flash Fin vs Seed 2.1 Turbo

Ling 3.0 Flash Fin and Seed 2.1 Turbo are closely matched at 43.0 and 43.2 on the LLM Stats Score.

InclusionAI · ByteDance · Updated for 2026

Which is better?

Ling 3.0 Flash Fin and Seed 2.1 Turbo are closely matched on the overall LLM Stats Score at 43.0 and 43.2.

The models split the 2 individual benchmarks reported for both models evenly.

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

Choose Ling 3.0 Flash Fin

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

Choose Seed 2.1 Turbo

  • you are already invested in the ByteDance ecosystem

At a glance

The differences that matter most.

Ling 3.0 Flash Fin
InclusionAI
Seed 2.1 Turbo
ByteDance
Core performance indexes
LLM Stats Score
43.0
#44
43.2
#42
Reasoning
44.2
#35
44.5
#34
Agents
29.2
#37
29.1
#39
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
Input price
$0.06 / M
— / M
Output price
$0.18 / M
— / M
Context window
262,144
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Ling 3.0 Flash Fin
Seed 2.1 Turbo
Tool use
20.4#58
21.4#51
Finance
36.7#5
30.8#22
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for Ling 3.0 Flash Fin · 90 for Seed 2.1 Turbo

2 shared

Ling 3.0 Flash Fin outperforms in 1 benchmarks (Finance Agent v1.1), while Seed 2.1 Turbo is better at 1 benchmark (APEX-Agents).

Both models are evenly matched across the benchmarks.

Fri Sep 18 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Ling 3.0 Flash Fin specifies input context (262,144 tokens). Only Ling 3.0 Flash Fin specifies output context (262,144 tokens).

InclusionAI
Ling 3.0 Flash Fin
Input262,144 tokens
Output262,144 tokens
ByteDance
Seed 2.1 Turbo
Input- tokens
Output- tokens
Fri Sep 18 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Seed 2.1 Turbo supports multimodal inputs, whereas Ling 3.0 Flash Fin does not.

Seed 2.1 Turbo can handle both text and other forms of data like images, making it suitable for multimodal applications.

Ling 3.0 Flash Fin

Text
Images
Audio
Video

Seed 2.1 Turbo

Text
Images
Audio
Video

Release Timeline

When each model was launched

Ling 3.0 Flash Fin was released on 2026-09-03, while Seed 2.1 Turbo was released on 2026-06-24.

Ling 3.0 Flash Fin is 2 months newer than Seed 2.1 Turbo.

Ling 3.0 Flash Fin

Sep 3, 2026

2 weeks ago

2mo newer
Seed 2.1 Turbo

Jun 24, 2026

2 months ago

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?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Ling 3.0 Flash Fin and Seed 2.1 Turbo side-by-side, then vote on the output you prefer.

Ling 3.0 Flash Fin
✓ Preferred
Seed 2.1 Turbo
Open in Playground

FAQ

Common questions about Ling 3.0 Flash Fin vs Seed 2.1 Turbo.

Which is better, Ling 3.0 Flash Fin or Seed 2.1 Turbo?

Ling 3.0 Flash Fin and Seed 2.1 Turbo are closely matched on the LLM Stats Score at 43.0 and 43.2. Ling 3.0 Flash Fin is made by InclusionAI and Seed 2.1 Turbo is made by ByteDance. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Ling 3.0 Flash Fin compare to Seed 2.1 Turbo in benchmarks?

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%. Seed 2.1 Turbo scores CharXiv-D: 94.6%, MathVision: 92.7%, MathVista: 90.5%, MathVerse: 89.2%, Video-MME: 89.0%.

What are the context window sizes for Ling 3.0 Flash Fin and Seed 2.1 Turbo?

Ling 3.0 Flash Fin supports 262K tokens and Seed 2.1 Turbo 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 Ling 3.0 Flash Fin and Seed 2.1 Turbo?

Key differences include LLM Stats Score (43.0 vs 43.2), multimodal support (no vs yes), licensing (Unknown vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Ling 3.0 Flash Fin and Seed 2.1 Turbo?

Ling 3.0 Flash Fin is developed by InclusionAI and Seed 2.1 Turbo is developed by ByteDance.

Related comparisons