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Llama 3.3 70B Instruct vs LongCat-2.5

LongCat-2.5 leads the LLM Stats Score 50.0 to 13.3. Llama 3.3 70B Instruct is 4.2x cheaper per token.

Meta · Meituan · Updated for 2026

Which is better?

LongCat-2.5 leads the overall LLM Stats Score 50.0 to 13.3, ranking #20 overall.

On price, Llama 3.3 70B Instruct is roughly 4.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

LongCat-2.5 also accepts a larger context window (1,048,576 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 Llama 3.3 70B Instruct

  • cost matters — it's about 4.2x cheaper per token
  • you need open weights you can self-host or fine-tune

Choose LongCat-2.5

  • overall performance matters — it scores 50.0 and ranks #20 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Nov 2026

At a glance

The differences that matter most.

Llama 3.3 70B Instruct
Meta
LongCat-2.5
Meituan
Core performance indexes
LLM Stats Score
13.3
#280
50.0
#20
Reasoning
11.2
#291
48.3
#21
Coding
9.1
#204
38.6
#27
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.10 / M
$0.30 / M
Output price
$0.20 / M
$1.20 / M
Context window
131,072
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Llama 3.3 70B Instruct
LongCat-2.5
Math
17.4#210
37.2#37
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for Llama 3.3 70B Instruct · 23 for LongCat-2.5

No common benchmarks found

Llama 3.3 70B Instruct and LongCat-2.5don'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

Llama 3.3 70B Instruct costs less

For input processing, Llama 3.3 70B Instruct ($0.10/1M tokens) is 3.0x cheaper than LongCat-2.5 ($0.30/1M tokens).

For output processing, Llama 3.3 70B Instruct ($0.20/1M tokens) is 6.0x cheaper than LongCat-2.5 ($1.20/1M tokens).

In conclusion, LongCat-2.5 is more expensive than Llama 3.3 70B Instruct.*

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

Lowest available price from all providers
Tue Nov 03 2026 • llm-stats.com
Meta
Llama 3.3 70B Instruct
Input tokens$0.10
Output tokens$0.20
Best providerDeepinfra
Meituan
LongCat-2.5
Input tokens$0.30
Output tokens$1.20
Best providerMeituan
Notice missing or incorrect data?

Model Size

Parameter count comparison

1530.0B diff

LongCat-2.5 has 1530.0B more parameters than Llama 3.3 70B Instruct, making it 2185.7% larger.

Meta
Llama 3.3 70B Instruct
70.0Bparameters
Meituan
LongCat-2.5
1.6Tparameters
70.0B
Llama 3.3 70B Instruct
1600.0B
LongCat-2.5

Context Window

Maximum input and output token capacity

LongCat-2.5 accepts 1,048,576 input tokens compared to Llama 3.3 70B Instruct's 131,072 tokens. Both models can generate responses up to 131,072 tokens.

Meta
Llama 3.3 70B Instruct
Input131,072 tokens
Output131,072 tokens
Meituan
LongCat-2.5
Input1,048,576 tokens
Output131,072 tokens
Tue Nov 03 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

LongCat-2.5 supports multimodal inputs, whereas Llama 3.3 70B Instruct does not.

LongCat-2.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Llama 3.3 70B Instruct

Text
Images
Audio
Video

LongCat-2.5

Text
Images
Audio
Video

Release Timeline

When each model was launched

Llama 3.3 70B Instruct was released on 2024-12-06, while LongCat-2.5 was released on 2026-11-01.

LongCat-2.5 is 23 months newer than Llama 3.3 70B Instruct.

Llama 3.3 70B Instruct

Dec 6, 2024

1.9 years ago

LongCat-2.5

Nov 1, 2026

-1 days ago

1.9yr 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

Llama 3.3 70B Instruct is available from DeepInfra, Lambda, Hyperbolic, Groq, Sambanova, Cerebras, Bedrock, Together, Fireworks. LongCat-2.5 is available from Meituan.

Llama 3.3 70B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.10/1MOutput Price:Output: $0.32/1M
lambda logo
Lambda
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.40/1MOutput Price:Output: $0.40/1M
groq logo
Groq
Input Price:Input: $0.59/1MOutput Price:Output: $7.90/1M
sambanova logo
Sambanova
Input Price:Input: $0.60/1MOutput Price:Output: $1.20/1M
cerebras logo
Cerebras
Input Price:Input: $0.70/1MOutput Price:Output: $0.80/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.72/1MOutput Price:Output: $0.72/1M
together logo
Together
Input Price:Input: $0.88/1MOutput Price:Output: $0.88/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M

LongCat-2.5

meituan logo
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 Llama 3.3 70B Instruct and LongCat-2.5 side-by-side, then vote on the output you prefer.

Llama 3.3 70B Instruct
✓ Preferred
LongCat-2.5
Open in Playground

FAQ

Common questions about Llama 3.3 70B Instruct vs LongCat-2.5.

Which is better, Llama 3.3 70B Instruct or LongCat-2.5?

LongCat-2.5 leads the LLM Stats Score 50.0 to 13.3. Llama 3.3 70B Instruct is made by Meta and LongCat-2.5 is made by Meituan. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Llama 3.3 70B Instruct compare to LongCat-2.5 in benchmarks?

Llama 3.3 70B Instruct scores IFEval: 92.1%, MGSM: 91.1%, HumanEval: 88.4%, MBPP EvalPlus: 87.6%, MMLU: 86.0%. LongCat-2.5 scores MathVision: 96.5%, BrowseComp: 91.9%, CharXiv-R: 90.2%, Terminal-Bench 2.1: 88.4%, Video-MME: 85.2%.

Is Llama 3.3 70B Instruct cheaper than LongCat-2.5?

Llama 3.3 70B Instruct is 3.0x cheaper for input tokens. Llama 3.3 70B Instruct costs $0.10/M input and $0.20/M output via deepinfra. LongCat-2.5 costs $0.30/M input and $1.20/M output via meituan.

What are the context window sizes for Llama 3.3 70B Instruct and LongCat-2.5?

Llama 3.3 70B Instruct supports 131K tokens and LongCat-2.5 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Llama 3.3 70B Instruct and LongCat-2.5?

Key differences include LLM Stats Score (13.3 vs 50.0), context window (131K vs 1.0M), input pricing ($0.10 vs $0.30/M), multimodal support (no vs yes), licensing (Llama 3.3 Community License Agreement vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 3.3 70B Instruct and LongCat-2.5?

Llama 3.3 70B Instruct is developed by Meta and LongCat-2.5 is developed by Meituan.

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