GPT OSS 20B vs LongCat-Flash-Lite

GPT OSS 20B and LongCat-Flash-Lite are closely matched at 17.4 and 19.1 on the LLM Stats Score. GPT OSS 20B is 2.0x cheaper per token.

OpenAI · Meituan · Updated for 2026

Which is better?

GPT OSS 20B and LongCat-Flash-Lite are closely matched on the overall LLM Stats Score at 17.4 and 19.1.

The models split the 2 individual benchmarks reported for both models evenly.

On price, GPT OSS 20B is roughly 2.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

LongCat-Flash-Lite also accepts a larger context window (256,000 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 20B

cost matters — it's about 2.0x cheaper per token

Choose LongCat-Flash-Lite

you process long inputs — it offers a 256,000 token context window
you want the most recent training data — it shipped Feb 2026

At a glance

The differences that matter most.

Better token value: GPT OSS 20B

Core performance indexes

LLM Stats Score

17.4

#197 · 7 evals

19.1

#190 · 13 evals

Best

Reasoning

15.9

#201 · 5 evals

19.3

#184 · 13 evals

Best

Cost, coverage & limits

Benchmark wins

1 of 2

Input price

$0.05 / M

Best

$0.10 / M

Output price

$0.20 / M

Best

$0.40 / M

Context window

131,072

256,000

Best

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared

Index

GPT OSS 20B

LongCat-Flash-Lite

Math

17.4#184 · 3 evals

17.6#182 · 5 evals

Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

7 reported for GPT OSS 20B · 13 for LongCat-Flash-Lite

2 shared

GPT OSS 20B outperforms in 1 benchmarks (GPQA), while LongCat-Flash-Lite is better at 1 benchmark (MMLU).

Both models are evenly matched across the benchmarks.

Sat Aug 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 20B costs less

For input processing, GPT OSS 20B ($0.05/1M tokens) is 2.0x cheaper than LongCat-Flash-Lite ($0.10/1M tokens).

For output processing, GPT OSS 20B ($0.20/1M tokens) is 2.0x cheaper than LongCat-Flash-Lite ($0.40/1M tokens).

In conclusion, LongCat-Flash-Lite is more expensive than GPT OSS 20B.*

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

Lowest available price from all providers

Sat Aug 29 2026 • llm-stats.com

GPT OSS 20B

Input tokens$0.05

Output tokens$0.20

Best providerNovita

LongCat-Flash-Lite

Input tokens$0.10

Output tokens$0.40

Best providerMeituan

Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

47.6B diff

LongCat-Flash-Lite has 47.6B more parameters than GPT OSS 20B, making it 227.8% larger.

GPT OSS 20B

20.9Bparameters

LongCat-Flash-Lite

68.5Bparameters

20.9B

GPT OSS 20B

68.5B

LongCat-Flash-Lite

Context Window

Maximum input and output token capacity

LongCat-Flash-Lite accepts 256,000 input tokens compared to GPT OSS 20B's 131,072 tokens. LongCat-Flash-Lite can generate longer responses up to 128,000 tokens, while GPT OSS 20B is limited to 32,768 tokens.

GPT OSS 20B

Input131,072 tokens

Output32,768 tokens

LongCat-Flash-Lite

Input256,000 tokens

Output128,000 tokens

Sat Aug 29 2026 • llm-stats.com

License

Usage and distribution terms

GPT OSS 20B is licensed under Apache 2.0, while LongCat-Flash-Lite uses MIT.

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

GPT OSS 20B

Apache 2.0

Open weights

LongCat-Flash-Lite

MIT

Open weights

Release Timeline

When each model was launched

GPT OSS 20B was released on 2025-08-05, while LongCat-Flash-Lite was released on 2026-02-05.

LongCat-Flash-Lite is 6 months newer than GPT OSS 20B.

GPT OSS 20B

Aug 5, 2025

1.1 years ago

LongCat-Flash-Lite

Feb 5, 2026

6 months ago

6mo 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 20B is available from Novita, Fireworks, Groq, OpenAI. LongCat-Flash-Lite is available from Meituan.

GPT OSS 20B

Novita

Input Price:Input: $0.05/1MOutput Price:Output: $0.20/1M

Fireworks

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

Groq

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

OpenAI

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

LongCat-Flash-Lite

Meituan

Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M

* 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 20B and LongCat-Flash-Lite side-by-side, then vote on the output you prefer.

GPT OSS 20B

✓ Preferred

LongCat-Flash-Lite

Open in Playground

FAQ

Common questions about GPT OSS 20B vs LongCat-Flash-Lite.

Which is better, GPT OSS 20B or LongCat-Flash-Lite?

GPT OSS 20B and LongCat-Flash-Lite are closely matched on the LLM Stats Score at 17.4 and 19.1. GPT OSS 20B is made by OpenAI and LongCat-Flash-Lite 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 20B compare to LongCat-Flash-Lite in benchmarks?

GPT OSS 20B scores MMLU: 85.3%, CodeForces: 74.3%, GPQA: 71.5%, TAU-bench Retail: 54.8%, HealthBench: 42.5%. LongCat-Flash-Lite scores MATH-500: 96.8%, MMLU: 85.5%, CMMLU: 82.5%, MMLU-Pro: 78.3%, Tau2 Retail: 73.1%.

Is GPT OSS 20B cheaper than LongCat-Flash-Lite?

GPT OSS 20B is 2.0x cheaper for input tokens. GPT OSS 20B costs $0.05/M input and $0.20/M output via novita. LongCat-Flash-Lite costs $0.10/M input and $0.40/M output via meituan.

What are the context window sizes for GPT OSS 20B and LongCat-Flash-Lite?

GPT OSS 20B supports 131K tokens and LongCat-Flash-Lite 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 GPT OSS 20B and LongCat-Flash-Lite?

Key differences include LLM Stats Score (17.4 vs 19.1), context window (131K vs 256K), input pricing ($0.05 vs $0.10/M), licensing (Apache 2.0 vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT OSS 20B and LongCat-Flash-Lite?

GPT OSS 20B is developed by OpenAI and LongCat-Flash-Lite is developed by Meituan.

GPT OSS 20B vs LongCat-Flash-Lite