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Ling 3.0 Flash Fin vs Qwen3-Coder

Comparing Ling 3.0 Flash Fin and Qwen3-Coder across benchmarks, pricing, and capabilities.

InclusionAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Ling 3.0 Flash Fin and Qwen3-Coder trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

On price, Ling 3.0 Flash Fin is roughly 2.0x 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

  • cost matters — it's about 2.0x 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 Qwen3-Coder

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Benchmark wins
Input price
$0.06 / M
$0.18 / M
Output price
$0.18 / M
$0.18 / M
Context window
262,144
256,000

Individual benchmarks

6 reported for Ling 3.0 Flash Fin · 0 for Qwen3-Coder

No common benchmarks found

Ling 3.0 Flash Fin and Qwen3-Coderdon'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 3.0x cheaper than Qwen3-Coder ($0.18/1M tokens).

For output processing, Ling 3.0 Flash Fin ($0.18/1M tokens) costs the same as Qwen3-Coder ($0.18/1M tokens).

In conclusion, Qwen3-Coder 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
Tue Sep 15 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-Coder
Input tokens$0.18
Output tokens$0.18
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

356.0B diff

Qwen3-Coder has 356.0B more parameters than Ling 3.0 Flash Fin, making it 287.1% larger.

InclusionAI
Ling 3.0 Flash Fin
124.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3-Coder
480.0Bparameters
124.0B
Ling 3.0 Flash Fin
480.0B
Qwen3-Coder

Context Window

Maximum input and output token capacity

Ling 3.0 Flash Fin accepts 262,144 input tokens compared to Qwen3-Coder's 256,000 tokens. Ling 3.0 Flash Fin can generate longer responses up to 262,144 tokens, while Qwen3-Coder is limited to 256,000 tokens.

InclusionAI
Ling 3.0 Flash Fin
Input262,144 tokens
Output262,144 tokens
Alibaba Cloud / Qwen Team
Qwen3-Coder
Input256,000 tokens
Output256,000 tokens
Tue Sep 15 2026 • llm-stats.com

Release Timeline

When each model was launched

Ling 3.0 Flash Fin was released on 2026-09-03, while Qwen3-Coder was released on 2025-01-01.

Ling 3.0 Flash Fin is 20 months newer than Qwen3-Coder.

Ling 3.0 Flash Fin

Sep 3, 2026

1 weeks ago

1.7yr newer
Qwen3-Coder

Jan 1, 2025

1.7 years 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-Coder is available from DeepInfra, Fireworks.

Ling 3.0 Flash Fin

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

Qwen3-Coder

deepinfra logo
Deepinfra
Input Price:Input: $0.18/1MOutput Price:Output: $0.18/1M
fireworks logo
Fireworks
Input Price:Input: $0.25/1MOutput Price:Output: $0.25/1M
* 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-Coder side-by-side, then vote on the output you prefer.

Ling 3.0 Flash Fin
✓ Preferred
Qwen3-Coder
Open in Playground

FAQ

Common questions about Ling 3.0 Flash Fin vs Qwen3-Coder.

Which is better, Ling 3.0 Flash Fin or Qwen3-Coder?

Ling 3.0 Flash Fin (InclusionAI) and Qwen3-Coder (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Ling 3.0 Flash Fin compare to Qwen3-Coder 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%.

Is Ling 3.0 Flash Fin cheaper than Qwen3-Coder?

Ling 3.0 Flash Fin is 3.0x cheaper for input tokens. Ling 3.0 Flash Fin costs $0.06/M input and $0.18/M output via deepinfra. Qwen3-Coder costs $0.18/M input and $0.18/M output via deepinfra.

What are the context window sizes for Ling 3.0 Flash Fin and Qwen3-Coder?

Ling 3.0 Flash Fin supports 262K tokens and Qwen3-Coder 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 Qwen3-Coder?

Key differences include context window (262K vs 256K), input pricing ($0.06 vs $0.18/M), licensing (Unknown vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Ling 3.0 Flash Fin and Qwen3-Coder?

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