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Ling 3.0 Flash Fin vs o1-mini

Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to 10.1. Ling 3.0 Flash Fin is 58.3x cheaper per token.

InclusionAI · OpenAI · Updated for 2026

Which is better?

Ling 3.0 Flash Fin leads the overall LLM Stats Score 43.3 to 10.1, ranking #39 overall.

On price, Ling 3.0 Flash Fin is roughly 58.3x 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 — it leads those capability indexes
  • cost matters — it's about 58.3x 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 o1-mini

  • you want predictable pricing at $3.00/M input and $12.00/M output

At a glance

The differences that matter most.

Ling 3.0 Flash Fin
InclusionAI
o1-mini
OpenAI
Core performance indexes
LLM Stats Score
43.3
#39
10.1
#264
Reasoning
44.7
#32
10.3
#258
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.06 / M
$3.00 / M
Output price
$0.18 / M
$12.00 / M
Context window
262,144
128,000

Individual benchmarks

6 reported for Ling 3.0 Flash Fin · 6 for o1-mini

No common benchmarks found

Ling 3.0 Flash Fin and o1-minidon'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 50.0x cheaper than o1-mini ($3.00/1M tokens).

For output processing, Ling 3.0 Flash Fin ($0.18/1M tokens) is 66.7x cheaper than o1-mini ($12.00/1M tokens).

In conclusion, o1-mini 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 08 2026 • llm-stats.com
InclusionAI
Ling 3.0 Flash Fin
Input tokens$0.06
Output tokens$0.18
Best providerDeepinfra
OpenAI
o1-mini
Input tokens$3.00
Output tokens$12.00
Best providerOpenAI
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 o1-mini's 128,000 tokens. Ling 3.0 Flash Fin can generate longer responses up to 262,144 tokens, while o1-mini is limited to 65,536 tokens.

InclusionAI
Ling 3.0 Flash Fin
Input262,144 tokens
Output262,144 tokens
OpenAI
o1-mini
Input128,000 tokens
Output65,536 tokens
Tue Sep 08 2026 • llm-stats.com

Release Timeline

When each model was launched

Ling 3.0 Flash Fin was released on 2026-09-03, while o1-mini was released on 2024-09-12.

Ling 3.0 Flash Fin is 24 months newer than o1-mini.

Ling 3.0 Flash Fin

Sep 3, 2026

5 days ago

2.0yr newer
o1-mini

Sep 12, 2024

2.0 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. o1-mini is available from OpenAI, Azure.

Ling 3.0 Flash Fin

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

o1-mini

openai logo
OpenAI
Input Price:Input: $3.00/1MOutput Price:Output: $12.00/1M
azure logo
Azure
Input Price:Input: $3.30/1MOutput Price:Output: $13.20/1M
* 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 o1-mini side-by-side, then vote on the output you prefer.

Ling 3.0 Flash Fin
✓ Preferred
o1-mini
Open in Playground

FAQ

Common questions about Ling 3.0 Flash Fin vs o1-mini.

Which is better, Ling 3.0 Flash Fin or o1-mini?

Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to 10.1. Ling 3.0 Flash Fin is made by InclusionAI and o1-mini is made by OpenAI. 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 o1-mini 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%. o1-mini scores HumanEval: 92.4%, MATH-500: 90.0%, MMLU: 85.2%, SuperGLUE: 75.0%, GPQA: 60.0%.

Is Ling 3.0 Flash Fin cheaper than o1-mini?

Ling 3.0 Flash Fin is 50.0x cheaper for input tokens. Ling 3.0 Flash Fin costs $0.06/M input and $0.18/M output via deepinfra. o1-mini costs $3.00/M input and $12.00/M output via openai.

What are the context window sizes for Ling 3.0 Flash Fin and o1-mini?

Ling 3.0 Flash Fin supports 262K tokens and o1-mini supports 128K 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 o1-mini?

Key differences include LLM Stats Score (43.3 vs 10.1), context window (262K vs 128K), input pricing ($0.06 vs $3.00/M), licensing (Unknown vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Ling 3.0 Flash Fin and o1-mini?

Ling 3.0 Flash Fin is developed by InclusionAI and o1-mini is developed by OpenAI.

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