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Ling 3.0 Flash Fin vs Seed 1.8

Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to 34.2. Ling 3.0 Flash Fin is 7.6x cheaper per token.

InclusionAI · ByteDance · Updated for 2026

Which is better?

Ling 3.0 Flash Fin leads the overall LLM Stats Score 43.3 to 34.2, ranking #39 overall.

On price, Ling 3.0 Flash Fin is roughly 7.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Ling 3.0 Flash Fin also accepts a larger context window (262,144 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 Ling 3.0 Flash Fin

  • overall performance matters — it scores 43.3 and ranks #39 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes
  • cost matters — it's about 7.6x cheaper per token
  • you process long inputs — it offers a 262,144 token context window
  • you want the most recent training data — it shipped Sep 2026

Choose Seed 1.8

  • you want predictable pricing at $0.25/M input and $2.00/M output

At a glance

The differences that matter most.

Core performance indexes
43.3
#39
34.2
#91
44.7
#32
33.5
#93
29.5
#35
14.9
#86
Cost, coverage & limits
Benchmark wins
Input price
$0.06 / M
$0.25 / M
Output price
$0.18 / M
$2.00 / M
Context window
262,144
256,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Ling 3.0 Flash Fin
Seed 1.8
20.5#56
6.6#142
36.7#5
32.7#13
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for Ling 3.0 Flash Fin · 57 for Seed 1.8

No common benchmarks found

Ling 3.0 Flash Fin and Seed 1.8don'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, Ling 3.0 Flash Fin ($0.06/1M tokens) is 4.2x cheaper than Seed 1.8 ($0.25/1M tokens).

For output processing, Ling 3.0 Flash Fin ($0.18/1M tokens) is 11.1x cheaper than Seed 1.8 ($2.00/1M tokens).

In conclusion, Seed 1.8 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
Wed Sep 09 2026 • llm-stats.com
InclusionAI
Ling 3.0 Flash Fin
Input tokens$0.06
Output tokens$0.18
Best providerDeepinfra
ByteDance
Seed 1.8
Input tokens$0.25
Output tokens$2.00
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Ling 3.0 Flash Fin accepts 262,144 input tokens compared to Seed 1.8's 256,000 tokens. Ling 3.0 Flash Fin can generate longer responses up to 262,144 tokens, while Seed 1.8 is limited to 256,000 tokens.

InclusionAI
Ling 3.0 Flash Fin
Input262,144 tokens
Output262,144 tokens
ByteDance
Seed 1.8
Input256,000 tokens
Output256,000 tokens
Wed Sep 09 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Seed 1.8 supports multimodal inputs, whereas Ling 3.0 Flash Fin does not.

Seed 1.8 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 1.8

Text
Images
Audio
Video

Release Timeline

When each model was launched

Ling 3.0 Flash Fin was released on 2026-09-03, while Seed 1.8 was released on 2026-02-17.

Ling 3.0 Flash Fin is 7 months newer than Seed 1.8.

Ling 3.0 Flash Fin

Sep 3, 2026

5 days ago

6mo newer
Seed 1.8

Feb 17, 2026

6 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

Provider Availability

Ling 3.0 Flash Fin is available from DeepInfra. Seed 1.8 is available from DeepInfra.

Ling 3.0 Flash Fin

deepinfra logo
Deepinfra
Input Price:Input: $0.06/1MOutput Price:Output: $0.18/1M

Seed 1.8

deepinfra logo
Deepinfra
Input Price:Input: $0.25/1MOutput Price:Output: $2.00/1M
* 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 Ling 3.0 Flash Fin and Seed 1.8 side-by-side, then vote on the output you prefer.

Ling 3.0 Flash Fin
✓ Preferred
Seed 1.8
Open in Playground

FAQ

Common questions about Ling 3.0 Flash Fin vs Seed 1.8.

Which is better, Ling 3.0 Flash Fin or Seed 1.8?

Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to 34.2. Ling 3.0 Flash Fin is made by InclusionAI and Seed 1.8 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 1.8 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 1.8 scores CountBench: 96.3%, AIME 2025: 94.3%, VLMsAreBlind: 93.0%, MMLU: 92.3%, AI2D: 89.1%.

Is Ling 3.0 Flash Fin cheaper than Seed 1.8?

Ling 3.0 Flash Fin is 4.2x cheaper for input tokens. Ling 3.0 Flash Fin costs $0.06/M input and $0.18/M output via deepinfra. Seed 1.8 costs $0.25/M input and $2.00/M output via deepinfra.

What are the context window sizes for Ling 3.0 Flash Fin and Seed 1.8?

Ling 3.0 Flash Fin supports 262K tokens and Seed 1.8 supports 256K 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 1.8?

Key differences include LLM Stats Score (43.3 vs 34.2), context window (262K vs 256K), input pricing ($0.06 vs $0.25/M), 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 1.8?

Ling 3.0 Flash Fin is developed by InclusionAI and Seed 1.8 is developed by ByteDance.