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GPT OSS 120B vs Ling 3.0 Flash Fin

Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to 28.9. GPT OSS 120B is 1.3x cheaper per token.

OpenAI · InclusionAI · Updated for 2026

Which is better?

Ling 3.0 Flash Fin leads the overall LLM Stats Score 43.3 to 28.9, ranking #39 overall.

On price, GPT OSS 120B is roughly 1.3x 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 GPT OSS 120B

  • cost matters — it's about 1.3x cheaper per token
  • you need open weights you can self-host or fine-tune

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
  • you process long inputs — it offers a 262,144 token context window
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Core performance indexes
28.9
#130
43.3
#39
23.1
#164
44.7
#32
Cost, coverage & limits
Benchmark wins
Input price
$0.04 / M
$0.06 / M
Output price
$0.17 / M
$0.18 / M
Context window
131,072
262,144

Individual benchmarks

7 reported for GPT OSS 120B · 6 for Ling 3.0 Flash Fin

No common benchmarks found

GPT OSS 120B and Ling 3.0 Flash Findon'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

GPT OSS 120B costs less

For input processing, GPT OSS 120B ($0.04/1M tokens) is 1.6x cheaper than Ling 3.0 Flash Fin ($0.06/1M tokens).

For output processing, GPT OSS 120B ($0.17/1M tokens) is 1.1x cheaper than Ling 3.0 Flash Fin ($0.18/1M tokens).

In conclusion, Ling 3.0 Flash Fin is more expensive than GPT OSS 120B.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Wed Sep 09 2026 • llm-stats.com
OpenAI
GPT OSS 120B
Input tokens$0.04
Output tokens$0.17
Best providerDeepinfra
InclusionAI
Ling 3.0 Flash Fin
Input tokens$0.06
Output tokens$0.18
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

7.2B diff

Ling 3.0 Flash Fin has 7.2B more parameters than GPT OSS 120B, making it 6.2% larger.

OpenAI
GPT OSS 120B
116.8Bparameters
InclusionAI
Ling 3.0 Flash Fin
124.0Bparameters
116.8B
GPT OSS 120B
124.0B
Ling 3.0 Flash Fin

Context Window

Maximum input and output token capacity

Ling 3.0 Flash Fin accepts 262,144 input tokens compared to GPT OSS 120B's 131,072 tokens. Ling 3.0 Flash Fin can generate longer responses up to 262,144 tokens, while GPT OSS 120B is limited to 131,072 tokens.

OpenAI
GPT OSS 120B
Input131,072 tokens
Output131,072 tokens
InclusionAI
Ling 3.0 Flash Fin
Input262,144 tokens
Output262,144 tokens
Wed Sep 09 2026 • llm-stats.com

Release Timeline

When each model was launched

GPT OSS 120B was released on 2025-08-05, while Ling 3.0 Flash Fin was released on 2026-09-03.

Ling 3.0 Flash Fin is 13 months newer than GPT OSS 120B.

GPT OSS 120B

Aug 5, 2025

1.1 years ago

Ling 3.0 Flash Fin

Sep 3, 2026

5 days ago

1.1yr newer

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

GPT OSS 120B is available from DeepInfra, Novita, OpenAI, Fireworks, Groq. Ling 3.0 Flash Fin is available from DeepInfra.

GPT OSS 120B

deepinfra logo
Deepinfra
Input Price:Input: $0.04/1MOutput Price:Output: $0.17/1M
novita logo
Novita
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
openai logo
OpenAI
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
fireworks logo
Fireworks
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
groq logo
Groq
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M

Ling 3.0 Flash Fin

deepinfra logo
Deepinfra
Input Price:Input: $0.06/1MOutput Price:Output: $0.18/1M
* 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 GPT OSS 120B and Ling 3.0 Flash Fin side-by-side, then vote on the output you prefer.

GPT OSS 120B
✓ Preferred
Ling 3.0 Flash Fin
Open in Playground

FAQ

Common questions about GPT OSS 120B vs Ling 3.0 Flash Fin.

Which is better, GPT OSS 120B or Ling 3.0 Flash Fin?

Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to 28.9. GPT OSS 120B is made by OpenAI and Ling 3.0 Flash Fin is made by InclusionAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GPT OSS 120B compare to Ling 3.0 Flash Fin in benchmarks?

GPT OSS 120B scores MMLU: 90.0%, CodeForces: 82.1%, GPQA: 80.1%, TAU-bench Retail: 67.8%, HealthBench: 57.6%. 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 GPT OSS 120B cheaper than Ling 3.0 Flash Fin?

GPT OSS 120B is 1.6x cheaper for input tokens. GPT OSS 120B costs $0.04/M input and $0.17/M output via deepinfra. Ling 3.0 Flash Fin costs $0.06/M input and $0.18/M output via deepinfra.

What are the context window sizes for GPT OSS 120B and Ling 3.0 Flash Fin?

GPT OSS 120B supports 131K tokens and Ling 3.0 Flash Fin supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT OSS 120B and Ling 3.0 Flash Fin?

Key differences include LLM Stats Score (28.9 vs 43.3), context window (131K vs 262K), input pricing ($0.04 vs $0.06/M), licensing (Apache 2.0 vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT OSS 120B and Ling 3.0 Flash Fin?

GPT OSS 120B is developed by OpenAI and Ling 3.0 Flash Fin is developed by InclusionAI.