GPT OSS 120B vs LongCat-Flash-Chat

GPT OSS 120B leads the LLM Stats Score 28.1 to 19.3. GPT OSS 120B is 7.5x cheaper per token.

OpenAI · Meituan · Updated for 2026

Which is better?

GPT OSS 120B leads the overall LLM Stats Score 28.1 to 19.3, ranking #158 overall.

In the 2 individual benchmarks reported for both models, GPT OSS 120B wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, GPT OSS 120B is roughly 7.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GPT OSS 120B also accepts a larger context window (131,072 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

overall performance matters — it scores 28.1 and ranks #158 on LLM Stats
you value its reported benchmark strengths — it wins 2 of 2 exact shared results
cost matters — it's about 7.5x cheaper per token
you process long inputs — it offers a 131,072 token context window

Choose LongCat-Flash-Chat

you want the most recent training data — it shipped Aug 2025

At a glance

The differences that matter most.

Better token value: GPT OSS 120B

Core performance indexes

LLM Stats Score

28.1

#158 · 7 evals

Best

19.3

#224 · 16 evals

Reasoning

22.6

#191 · 5 evals

Best

19.3

#220 · 15 evals

Cost, coverage & limits

Benchmark wins

2 of 2

Best

0 of 2

Input price

$0.04 / M

Best

$0.30 / M

Output price

$0.17 / M

Best

$1.20 / M

Context window

131,072

Best

128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared

Index

GPT OSS 120B

LongCat-Flash-Chat

Math

23.1#143 · 3 evals

18.8#186 · 5 evals

Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

7 reported for GPT OSS 120B · 16 for LongCat-Flash-Chat

2 shared

GPT OSS 120B outperforms in 2 benchmarks (GPQA, MMLU), while LongCat-Flash-Chat is better at 0 benchmarks.

GPT OSS 120B significantly outperforms across most benchmarks.

Thu Oct 29 2026 • llm-stats.com

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 8.1x cheaper than LongCat-Flash-Chat ($0.30/1M tokens).

For output processing, GPT OSS 120B ($0.17/1M tokens) is 7.1x cheaper than LongCat-Flash-Chat ($1.20/1M tokens).

In conclusion, LongCat-Flash-Chat is more expensive than GPT OSS 120B.*

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

Lowest available price from all providers

Thu Oct 29 2026 • llm-stats.com

GPT OSS 120B

Input tokens$0.04

Output tokens$0.17

Best providerDeepinfra

LongCat-Flash-Chat

Input tokens$0.30

Output tokens$1.20

Best providerMeituan

Notice missing or incorrect data?

Model Size

Parameter count comparison

443.2B diff

LongCat-Flash-Chat has 443.2B more parameters than GPT OSS 120B, making it 379.5% larger.

GPT OSS 120B

116.8Bparameters

LongCat-Flash-Chat

560.0Bparameters

116.8B

GPT OSS 120B

560.0B

LongCat-Flash-Chat

Context Window

Maximum input and output token capacity

GPT OSS 120B accepts 131,072 input tokens compared to LongCat-Flash-Chat's 128,000 tokens. GPT OSS 120B can generate longer responses up to 131,072 tokens, while LongCat-Flash-Chat is limited to 128,000 tokens.

GPT OSS 120B

Input131,072 tokens

Output131,072 tokens

LongCat-Flash-Chat

Input128,000 tokens

Output128,000 tokens

Thu Oct 29 2026 • llm-stats.com

License

Usage and distribution terms

GPT OSS 120B is licensed under Apache 2.0, while LongCat-Flash-Chat uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

GPT OSS 120B

Apache 2.0

Open weights

LongCat-Flash-Chat

MIT

Open weights

Release Timeline

When each model was launched

GPT OSS 120B was released on 2025-08-05, while LongCat-Flash-Chat was released on 2025-08-29.

LongCat-Flash-Chat is 1 month newer than GPT OSS 120B.

GPT OSS 120B

Aug 5, 2025

1.2 years ago

LongCat-Flash-Chat

Aug 29, 2025

1.2 years ago

3w 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. LongCat-Flash-Chat is available from Meituan.

GPT OSS 120B

Deepinfra

Input Price:Input: $0.04/1MOutput Price:Output: $0.17/1M

Novita

Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M

OpenAI

Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M

Fireworks

Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M

Groq

Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M

LongCat-Flash-Chat

Meituan

Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M

* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT OSS 120B and LongCat-Flash-Chat side-by-side, then vote on the output you prefer.

GPT OSS 120B

✓ Preferred

LongCat-Flash-Chat

Open in Playground

FAQ

Common questions about GPT OSS 120B vs LongCat-Flash-Chat.

Which is better, GPT OSS 120B or LongCat-Flash-Chat?

GPT OSS 120B leads the LLM Stats Score 28.1 to 19.3. GPT OSS 120B is made by OpenAI and LongCat-Flash-Chat is made by Meituan. 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 LongCat-Flash-Chat in benchmarks?

GPT OSS 120B scores MMLU: 90.0%, CodeForces: 82.1%, GPQA: 80.1%, TAU-bench Retail: 67.8%, HealthBench: 57.6%. LongCat-Flash-Chat scores MATH-500: 96.4%, MMLU: 89.7%, IFEval: 89.6%, ZebraLogic: 89.3%, HumanEval: 88.4%.

Is GPT OSS 120B cheaper than LongCat-Flash-Chat?

GPT OSS 120B is 8.1x cheaper for input tokens. GPT OSS 120B costs $0.04/M input and $0.17/M output via deepinfra. LongCat-Flash-Chat costs $0.30/M input and $1.20/M output via meituan.

What are the context window sizes for GPT OSS 120B and LongCat-Flash-Chat?

GPT OSS 120B supports 131K tokens and LongCat-Flash-Chat 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 GPT OSS 120B and LongCat-Flash-Chat?

Key differences include LLM Stats Score (28.1 vs 19.3), context window (131K vs 128K), input pricing ($0.04 vs $0.30/M), licensing (Apache 2.0 vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT OSS 120B and LongCat-Flash-Chat?

GPT OSS 120B is developed by OpenAI and LongCat-Flash-Chat is developed by Meituan.

GPT OSS 120B vs LongCat-Flash-Chat