LongCat-Flash-Chat vs Qwen3-235B-A22B-Instruct-2507

LongCat-Flash-Chat and Qwen3-235B-A22B-Instruct-2507 are closely matched at 19.3 and 23.7 on the LLM Stats Score. Qwen3-235B-A22B-Instruct-2507 is 2.6x cheaper per token.

Meituan · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

LongCat-Flash-Chat and Qwen3-235B-A22B-Instruct-2507 are closely matched on the overall LLM Stats Score at 19.3 and 23.7.

In the 7 individual benchmarks reported for both models, Qwen3-235B-A22B-Instruct-2507 wins 5; this is a narrower head-to-head signal than the composite indexes.

On price, Qwen3-235B-A22B-Instruct-2507 is roughly 2.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Qwen3-235B-A22B-Instruct-2507 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 LongCat-Flash-Chat

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

Choose Qwen3-235B-A22B-Instruct-2507

you value its reported benchmark strengths — it wins 5 of 7 exact shared results
cost matters — it's about 2.6x cheaper per token
you process long inputs — it offers a 262,144 token context window

At a glance

The differences that matter most.

Better token value: Qwen3-235B-A22B-Instruct-2507

LongCat-Flash-Chat

Meituan

Qwen3-235B-A22B-Instruct-2507

Alibaba Cloud / Qwen Team

Core performance indexes

LLM Stats Score

19.3

#224 · 16 evals

23.7

#191 · 25 evals

Best

Reasoning

19.3

#220 · 15 evals

23.5

#186 · 17 evals

Best

Coding

12.2

#168 · 4 evals

Best

3.9

#233 · 1 evals

Agents

8.9

#150 · 1 evals

9.8

#143 · 1 evals

Best

Cost, coverage & limits

Benchmark wins

2 of 7

5 of 7

Best

Input price

$0.30 / M

$0.09 / M

Best

Output price

$1.20 / M

$0.55 / M

Best

Context window

128,000

262,144

Best

Capability indexes

Additional strengths measured across groups of related public benchmarks

5 shared

Index

LongCat-Flash-Chat

Qwen3-235B-A22B-Instruct-2507

Math

18.8#186 · 5 evals

23.7#133 · 8 evals

Tool use

7.9#159 · 3 evals

5.1#173 · 3 evals

Writing

12.1#65 · 3 evals

10.8#73 · 4 evals

Finance

26.2#49 · 2 evals

28.1#34 · 5 evals

Legal

26.2#38 · 2 evals

27.7#26 · 4 evals

Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for LongCat-Flash-Chat · 25 for Qwen3-235B-A22B-Instruct-2507

7 shared

LongCat-Flash-Chat outperforms in 2 benchmarks (IFEval, Tau2 Airline), while Qwen3-235B-A22B-Instruct-2507 is better at 5 benchmarks (AIME 2025, GPQA, MMLU-Pro, Tau2 Retail, ZebraLogic).

Qwen3-235B-A22B-Instruct-2507 shows notably better performance in the majority of benchmarks.

Thu Oct 22 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Qwen3-235B-A22B-Instruct-2507 costs less

For input processing, LongCat-Flash-Chat ($0.30/1M tokens) is 3.3x more expensive than Qwen3-235B-A22B-Instruct-2507 ($0.09/1M tokens).

For output processing, LongCat-Flash-Chat ($1.20/1M tokens) is 2.2x more expensive than Qwen3-235B-A22B-Instruct-2507 ($0.55/1M tokens).

In conclusion, LongCat-Flash-Chat is more expensive than Qwen3-235B-A22B-Instruct-2507.*

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

Lowest available price from all providers

Thu Oct 22 2026 • llm-stats.com

LongCat-Flash-Chat

Input tokens$0.30

Output tokens$1.20

Best providerMeituan

Qwen3-235B-A22B-Instruct-2507

Input tokens$0.09

Output tokens$0.55

Best providerDeepinfra

Notice missing or incorrect data?

Model Size

Parameter count comparison

325.0B diff

LongCat-Flash-Chat has 325.0B more parameters than Qwen3-235B-A22B-Instruct-2507, making it 138.3% larger.

LongCat-Flash-Chat

560.0Bparameters

Qwen3-235B-A22B-Instruct-2507

235.0Bparameters

560.0B

LongCat-Flash-Chat

235.0B

Qwen3-235B-A22B-Instruct-2507

Context Window

Maximum input and output token capacity

Qwen3-235B-A22B-Instruct-2507 accepts 262,144 input tokens compared to LongCat-Flash-Chat's 128,000 tokens. Qwen3-235B-A22B-Instruct-2507 can generate longer responses up to 262,144 tokens, while LongCat-Flash-Chat is limited to 128,000 tokens.

LongCat-Flash-Chat

Input128,000 tokens

Output128,000 tokens

Qwen3-235B-A22B-Instruct-2507

Input262,144 tokens

Output262,144 tokens

Thu Oct 22 2026 • llm-stats.com

License

Usage and distribution terms

LongCat-Flash-Chat is licensed under MIT, while Qwen3-235B-A22B-Instruct-2507 uses Apache 2.0.

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

LongCat-Flash-Chat

MIT

Open weights

Qwen3-235B-A22B-Instruct-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

LongCat-Flash-Chat was released on 2025-08-29, while Qwen3-235B-A22B-Instruct-2507 was released on 2025-07-22.

LongCat-Flash-Chat is 1 month newer than Qwen3-235B-A22B-Instruct-2507.

LongCat-Flash-Chat

Aug 29, 2025

1.1 years ago

1mo newer

Qwen3-235B-A22B-Instruct-2507

Jul 22, 2025

1.3 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

LongCat-Flash-Chat is available from Meituan. Qwen3-235B-A22B-Instruct-2507 is available from DeepInfra, Fireworks, Novita.

LongCat-Flash-Chat

Meituan

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

Qwen3-235B-A22B-Instruct-2507

Deepinfra

Input Price:Input: $0.09/1MOutput Price:Output: $0.55/1M

Fireworks

Input Price:Input: $0.15/1MOutput Price:Output: $0.80/1M

Novita

Input Price:Input: $0.15/1MOutput Price:Output: $0.80/1M

* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against LongCat-Flash-Chat and Qwen3-235B-A22B-Instruct-2507 side-by-side, then vote on the output you prefer.

LongCat-Flash-Chat

✓ Preferred

Qwen3-235B-A22B-Instruct-2507

Open in Playground

FAQ

Common questions about LongCat-Flash-Chat vs Qwen3-235B-A22B-Instruct-2507.

Which is better, LongCat-Flash-Chat or Qwen3-235B-A22B-Instruct-2507?

LongCat-Flash-Chat and Qwen3-235B-A22B-Instruct-2507 are closely matched on the LLM Stats Score at 19.3 and 23.7. LongCat-Flash-Chat is made by Meituan and Qwen3-235B-A22B-Instruct-2507 is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does LongCat-Flash-Chat compare to Qwen3-235B-A22B-Instruct-2507 in benchmarks?

LongCat-Flash-Chat scores MATH-500: 96.4%, MMLU: 89.7%, IFEval: 89.6%, ZebraLogic: 89.3%, HumanEval: 88.4%. Qwen3-235B-A22B-Instruct-2507 scores ZebraLogic: 95.0%, MMLU-Redux: 93.1%, IFEval: 88.7%, MultiPL-E: 87.9%, Creative Writing v3: 87.5%.

Is LongCat-Flash-Chat cheaper than Qwen3-235B-A22B-Instruct-2507?

Qwen3-235B-A22B-Instruct-2507 is 3.3x cheaper for input tokens. LongCat-Flash-Chat costs $0.30/M input and $1.20/M output via meituan. Qwen3-235B-A22B-Instruct-2507 costs $0.09/M input and $0.55/M output via deepinfra.

What are the context window sizes for LongCat-Flash-Chat and Qwen3-235B-A22B-Instruct-2507?

LongCat-Flash-Chat supports 128K tokens and Qwen3-235B-A22B-Instruct-2507 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 LongCat-Flash-Chat and Qwen3-235B-A22B-Instruct-2507?

Key differences include LLM Stats Score (19.3 vs 23.7), context window (128K vs 262K), input pricing ($0.30 vs $0.09/M), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes LongCat-Flash-Chat and Qwen3-235B-A22B-Instruct-2507?

LongCat-Flash-Chat is developed by Meituan and Qwen3-235B-A22B-Instruct-2507 is developed by Alibaba Cloud / Qwen Team.

LongCat-Flash-Chat vs Qwen3-235B-A22B-Instruct-2507