LongCat 2.0 vs o4 Mini High
LongCat 2.0 costs 3.7x less per output token than o4 Mini High ($1.20 vs $4.40 per million). Updated October 21, 2026; 1 benchmarks have a result for both.
LongCat 2.0 or o4 Mini High: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick LongCat 2.0 for output tokens 3.7x cheaper ($1.20 vs $4.40 per million) and a larger context window (1.05M against 200K tokens).
- Shared results
- 1
- LongCat 2.0 only
- 7
- o4 Mini High only
- 1
- Like-for-like categories
- 1 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
No call
Only LongCat 2.0 has a AA Intelligence Index result, 19.1.
Directional only
Agentic work
AA Agentic Index
No call
Only LongCat 2.0 has a AA Agentic Index result, 14.0.
Directional only
Long documents
Listed context window
LongCat 2.0
LongCat 2.0 takes 1.05M tokens against 200K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
LongCat 2.0
LongCat 2.0 $0.0009, o4 Mini High $0.0033 per turn.
List prices
At a glance
- Coding index
- LongCat 2.0 not benchmarked, o4 Mini High not benchmarked.
- Widest category
- Coding, 1.1 points apart on average over 1 shared benchmark.
- Widest single gap
- ALE-Bench: LongCat 2.0 793.5 against o4 Mini High 826.2, 1.1 points apart on a 0 to 100 scale.
- Output price
- LongCat 2.0 $1.20 against o4 Mini High $4.40 per million output tokens, 3.7x apart.
- Context window
- LongCat 2.0 takes 1.05M tokens, o4 Mini High 200K.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | LongCat 2.0 | Bars | o4 Mini High | Ties |
|---|---|---|---|---|
| Coding | 0 | 1 | ||
| All shared boards | 0 | 1 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index01
| Benchmark | LongCat 2.0 | o4 Mini High | Leader |
|---|---|---|---|
| AA Coding Index | 45.3 | Not measured | Only LongCat 2.0 measured |
| SciCode | 36.3% | Not measured | Only LongCat 2.0 measured |
| ALE-Bench | 793.5 | 826.2 | o4 Mini High |
| Neither model has a result on the other 36 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | LongCat 2.0 | o4 Mini High | Leader |
|---|---|---|---|
| AA Intelligence Index | 19.1 | Not measured | Only LongCat 2.0 measured |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | LongCat 2.0 | o4 Mini High | Leader |
|---|---|---|---|
| AA Agentic Index | 14.0 | Not measured | Only LongCat 2.0 measured |
| GDPval | Not measured | 25.3% | Only o4 Mini High measured |
| Neither model has a result on the other 39 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | LongCat 2.0 | o4 Mini High | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 78.0% | Not measured | Only LongCat 2.0 measured |
| Humanity's Last Exam (Artificial Analysis run) | 33.7% | Not measured | Only LongCat 2.0 measured |
| Neither model has a result on the other 20 boards here | |||
MathNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | LongCat 2.0 | o4 Mini High | Leader |
|---|---|---|---|
| Neither model has a result on 13 boards here | |||
KnowledgeNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | LongCat 2.0 | o4 Mini High | Leader |
|---|---|---|---|
| Neither model has a result on 18 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | LongCat 2.0 | o4 Mini High | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | LongCat 2.0 | o4 Mini High | Leader |
|---|---|---|---|
| Long context reasoning (AA-LCR) | 65.0% | Not measured | Only LongCat 2.0 measured |
| Neither model has a result on the other 45 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | LongCat 2.0 | o4 Mini High | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
LongCat 2.0 costs less
Repository review
50K input + 3K output tokens
LongCat 2.0 costs less
Agent loop
200K input + 10K output tokens
LongCat 2.0 costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | Meituan LongCat 2.0 | OpenAI o4 Mini High |
|---|---|---|
| Maker | Meituan | OpenAI |
| Weights | Open weights | No public weights listed |
| Released | July 20, 2026 | April 16, 2025 |
| Context window | 1.05M | 200K |
| Input $/Mtok | $0.30 | $1.10 |
| Output $/Mtok | $1.20 | $4.40 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is LongCat 2.0 better than o4 Mini High for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick LongCat 2.0 for output tokens 3.7x cheaper ($1.20 vs $4.40 per million) and a larger context window (1.05M against 200K tokens).
Which is cheaper, LongCat 2.0 or o4 Mini High?
LongCat 2.0 costs $0.30 per million input tokens and $1.20 per million output tokens; o4 Mini High costs $1.10 and $4.40. Cost per solved task is known for neither of them.
Which has the bigger context window, LongCat 2.0 or o4 Mini High?
LongCat 2.0, with 1.05M tokens against 200K.
How many benchmarks is the LongCat 2.0 vs o4 Mini High comparison based on?
1 benchmarks have a result for both models as of October 21, 2026. LongCat 2.0's coding index rests on 0 independent benchmarks and o4 Mini High's on 0. Where only one model has a result, the page says so instead of naming a winner.