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Ling 3.0 Flash Fin vs Qwen3.8 Flash

Ling 3.0 Flash Fin and Qwen3.8 Flash are closely matched at 43.0 and 49.1 on the LLM Stats Score. Ling 3.0 Flash Fin is 2.6x cheaper per token.

InclusionAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Ling 3.0 Flash Fin and Qwen3.8 Flash are closely matched on the overall LLM Stats Score at 43.0 and 49.1.

On price, Ling 3.0 Flash Fin is roughly 2.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Qwen3.8 Flash also accepts a larger context window (1,000,000 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

  • cost matters — it's about 2.6x cheaper per token
  • you want the most recent training data — it shipped Sep 2026

Choose Qwen3.8 Flash

  • you process long inputs — it offers a 1,000,000 token context window

At a glance

The differences that matter most.

Ling 3.0 Flash Fin
InclusionAI
Qwen3.8 Flash
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
43.0
#44
49.1
#21
Reasoning
44.2
#35
48.8
#20
Agents
29.2
#37
35.1
#21
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.06 / M
$0.15 / M
Output price
$0.18 / M
$0.47 / M
Context window
262,144
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Ling 3.0 Flash Fin
Qwen3.8 Flash
Tool use
20.4#58
31.1#13
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for Ling 3.0 Flash Fin · 22 for Qwen3.8 Flash

No common benchmarks found

Ling 3.0 Flash Fin and Qwen3.8 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

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 2.5x cheaper than Qwen3.8 Flash ($0.15/1M tokens).

For output processing, Ling 3.0 Flash Fin ($0.18/1M tokens) is 2.6x cheaper than Qwen3.8 Flash ($0.47/1M tokens).

In conclusion, Qwen3.8 Flash 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
Sun Sep 20 2026 • llm-stats.com
InclusionAI
Ling 3.0 Flash Fin
Input tokens$0.06
Output tokens$0.18
Best providerDeepinfra
Alibaba Cloud / Qwen Team
Qwen3.8 Flash
Input tokens$0.15
Output tokens$0.47
Best providerNovita
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

1.0B diff

Qwen3.8 Flash has 1.0B more parameters than Ling 3.0 Flash Fin, making it 0.8% larger.

InclusionAI
Ling 3.0 Flash Fin
124.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8 Flash
125.0Bparameters
124.0B
Ling 3.0 Flash Fin
125.0B
Qwen3.8 Flash

Context Window

Maximum input and output token capacity

Qwen3.8 Flash accepts 1,000,000 input tokens compared to Ling 3.0 Flash Fin's 262,144 tokens. Ling 3.0 Flash Fin can generate longer responses up to 262,144 tokens, while Qwen3.8 Flash is limited to 131,072 tokens.

InclusionAI
Ling 3.0 Flash Fin
Input262,144 tokens
Output262,144 tokens
Alibaba Cloud / Qwen Team
Qwen3.8 Flash
Input1,000,000 tokens
Output131,072 tokens
Sun Sep 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Qwen3.8 Flash supports multimodal inputs, whereas Ling 3.0 Flash Fin does not.

Qwen3.8 Flash 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

Qwen3.8 Flash

Text
Images
Audio
Video

Release Timeline

When each model was launched

Ling 3.0 Flash Fin was released on 2026-09-03, while Qwen3.8 Flash was released on 2026-08-26.

Ling 3.0 Flash Fin is 0 month newer than Qwen3.8 Flash.

Ling 3.0 Flash Fin

Sep 3, 2026

2 weeks ago

1w newer
Qwen3.8 Flash

Aug 26, 2026

3 weeks 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. Qwen3.8 Flash is available from Novita.

Ling 3.0 Flash Fin

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

Qwen3.8 Flash

novita logo
Novita
Input Price:Input: $0.15/1MOutput Price:Output: $0.47/1M
* 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 Qwen3.8 Flash side-by-side, then vote on the output you prefer.

Ling 3.0 Flash Fin
✓ Preferred
Qwen3.8 Flash
Open in Playground

FAQ

Common questions about Ling 3.0 Flash Fin vs Qwen3.8 Flash.

Which is better, Ling 3.0 Flash Fin or Qwen3.8 Flash?

Ling 3.0 Flash Fin and Qwen3.8 Flash are closely matched on the LLM Stats Score at 43.0 and 49.1. Ling 3.0 Flash Fin is made by InclusionAI and Qwen3.8 Flash is made by Alibaba Cloud / Qwen Team. 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 Qwen3.8 Flash 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%. Qwen3.8 Flash scores MathVision: 95.7%, LiveCodeBench v6: 91.9%, GPQA: 91.7%, CharXiv-R: 90.6%, RealWorldQA: 88.5%.

Is Ling 3.0 Flash Fin cheaper than Qwen3.8 Flash?

Ling 3.0 Flash Fin is 2.5x cheaper for input tokens. Ling 3.0 Flash Fin costs $0.06/M input and $0.18/M output via deepinfra. Qwen3.8 Flash costs $0.15/M input and $0.47/M output via novita.

What are the context window sizes for Ling 3.0 Flash Fin and Qwen3.8 Flash?

Ling 3.0 Flash Fin supports 262K tokens and Qwen3.8 Flash supports 1.0M 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 Qwen3.8 Flash?

Key differences include LLM Stats Score (43.0 vs 49.1), context window (262K vs 1.0M), input pricing ($0.06 vs $0.15/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 Qwen3.8 Flash?

Ling 3.0 Flash Fin is developed by InclusionAI and Qwen3.8 Flash is developed by Alibaba Cloud / Qwen Team.

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