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Ling 3.0 Flash Fin vs o1

Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to 21.0. Ling 3.0 Flash Fin is 291.7x 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 21.0, ranking #39 overall.

On price, Ling 3.0 Flash Fin is roughly 291.7x 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 291.7x 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

  • you want predictable pricing at $15.00/M input and $60.00/M output

At a glance

The differences that matter most.

Ling 3.0 Flash Fin
InclusionAI
o1
OpenAI
Core performance indexes
LLM Stats Score
43.3
#39
21.0
#189
Reasoning
44.7
#32
21.4
#179
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.06 / M
$15.00 / M
Output price
$0.18 / M
$60.00 / M
Context window
262,144
200,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Ling 3.0 Flash Fin
o1
Tool use
20.5#56
12.7#99
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for Ling 3.0 Flash Fin · 19 for o1

No common benchmarks found

Ling 3.0 Flash Fin and o1don'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 250.0x cheaper than o1 ($15.00/1M tokens).

For output processing, Ling 3.0 Flash Fin ($0.18/1M tokens) is 333.3x cheaper than o1 ($60.00/1M tokens).

In conclusion, o1 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
OpenAI
o1
Input tokens$15.00
Output tokens$60.00
Best providerAzure
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's 200,000 tokens. Ling 3.0 Flash Fin can generate longer responses up to 262,144 tokens, while o1 is limited to 100,000 tokens.

InclusionAI
Ling 3.0 Flash Fin
Input262,144 tokens
Output262,144 tokens
OpenAI
o1
Input200,000 tokens
Output100,000 tokens
Wed Sep 09 2026 • llm-stats.com

Release Timeline

When each model was launched

Ling 3.0 Flash Fin was released on 2026-09-03, while o1 was released on 2024-12-17.

Ling 3.0 Flash Fin is 21 months newer than o1.

Ling 3.0 Flash Fin

Sep 3, 2026

5 days ago

1.7yr newer
o1

Dec 17, 2024

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. o1 is available from Azure, OpenAI.

Ling 3.0 Flash Fin

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

o1

azure logo
Azure
Input Price:Input: $15.00/1MOutput Price:Output: $60.00/1M
openai logo
OpenAI
Input Price:Input: $15.00/1MOutput Price:Output: $60.00/1M
* 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 o1 side-by-side, then vote on the output you prefer.

Ling 3.0 Flash Fin
✓ Preferred
o1
Open in Playground

FAQ

Common questions about Ling 3.0 Flash Fin vs o1.

Which is better, Ling 3.0 Flash Fin or o1?

Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to 21.0. Ling 3.0 Flash Fin is made by InclusionAI and o1 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 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 scores GSM8k: 97.1%, MATH: 96.4%, GPQA Physics: 92.8%, MMLU: 91.8%, MGSM: 89.3%.

Is Ling 3.0 Flash Fin cheaper than o1?

Ling 3.0 Flash Fin is 250.0x cheaper for input tokens. Ling 3.0 Flash Fin costs $0.06/M input and $0.18/M output via deepinfra. o1 costs $15.00/M input and $60.00/M output via azure.

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

Ling 3.0 Flash Fin supports 262K tokens and o1 supports 200K 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?

Key differences include LLM Stats Score (43.3 vs 21.0), context window (262K vs 200K), input pricing ($0.06 vs $15.00/M), licensing (Unknown vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Ling 3.0 Flash Fin and o1?

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

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