Ember-1 vs LongCat 2.0
LongCat 2.0 costs 12.5x less per output token than Ember-1 ($1.20 vs $15.00 per million). Updated October 22, 2026; no benchmark has tested both models yet.
- Coding
- 52.6
- Overall
- No data
- Output $/M
- $15.00
- Coding
- No data
- Overall
- No data
- Output $/M
- $1.20
Ember-1 or LongCat 2.0: which to pick
Only Ember-1 has a coding score, 52.6 on the Vibe Coding Index; LongCat 2.0 has none, so the two cannot be ranked on coding.
Pick LongCat 2.0 for output tokens 12.5x cheaper ($1.20 vs $15.00 per million) and a larger context window (1.05M against 1.05M tokens).
No benchmark has tested both yet. Ember-1 has results on Terminal-Bench 4 (Vals AI), Vibe Code Bench (Vals AI) and Code migration (Vals AI); LongCat 2.0 on AA Coding Index, SciCode and ALE-Bench. Compare them on price and context instead.
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
Only Ember-1 has a coding score, so no call is made.
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 1.05M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
LongCat 2.0
Ember-1 $0.011, LongCat 2.0 $0.0009 per turn.
List prices
At a glance
- Coding index
- Ember-1 52.6 from 2 benchmarks, LongCat 2.0 not benchmarked.
- Widest category
- None yet: no category has been tested on both models.
- Widest single gap
- None yet: no benchmark has tested both models.
- Output price
- Ember-1 $15.00 against LongCat 2.0 $1.20 per million output tokens, 12.5x apart.
- Context window
- Ember-1 takes 1.05M tokens, LongCat 2.0 1.05M.
Benchmark by benchmark
Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.
CodingDirectional onlySix of these boards feed the Vibe Coding Index8 boards measured
| Benchmark | Ember-1 | LongCat 2.0 | Leader |
|---|---|---|---|
| AA Coding Index | Not measured | 45.3 | Only LongCat 2.0 measured |
| Terminal-Bench 4 (Vals AI) | 20.7% | Not measured | Only Ember-1 measured |
| Vibe Code Bench (Vals AI) | 83.9% | Not measured | Only Ember-1 measured |
| Code migration (Vals AI) | 32.5% | Not measured | Only Ember-1 measured |
| IOI (Vals AI) | 46.3% | Not measured | Only Ember-1 measured |
| CyberBench (Vals AI) | 69.5% | Not measured | Only Ember-1 measured |
| SciCode | Not measured | 36.3% | Only LongCat 2.0 measured |
| ALE-Bench | Not measured | 793.5 | Only LongCat 2.0 measured |
| Neither model has a result on the other 31 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Ember-1 | LongCat 2.0 | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 19.1 | 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 index8 boards measured
| Benchmark | Ember-1 | LongCat 2.0 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 14.0 | Only LongCat 2.0 measured |
| Finance Agent (Vals AI) | 51.8% | Not measured | Only Ember-1 measured |
| Tax Agent Bench (Vals AI) | 31.1% | Not measured | Only Ember-1 measured |
| Legal Research Bench (Vals AI) | 44.7% | Not measured | Only Ember-1 measured |
| Excel Modeling Benchmark (Vals AI) | 63.4% | Not measured | Only Ember-1 measured |
| BioMysteryBench (Vals AI) | 67.0% | Not measured | Only Ember-1 measured |
| Terminal-Bench-Science (Vals AI) | 5.7% | Not measured | Only Ember-1 measured |
| Vals Science Index | 31.8% | Not measured | Only Ember-1 measured |
| Neither model has a result on the other 33 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured
| Benchmark | Ember-1 | LongCat 2.0 | Leader |
|---|---|---|---|
| MysteryMechanism (Vals AI) | 22.5% | Not measured | Only Ember-1 measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 78.0% | Only LongCat 2.0 measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 33.7% | Only LongCat 2.0 measured |
| Neither model has a result on the other 19 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Ember-1 | LongCat 2.0 | Leader |
|---|---|---|---|
| Public Benefits Bench (Vals AI) | 66.2% | Not measured | Only Ember-1 measured |
| Long context reasoning (AA-LCR) | Not measured | 65.0% | Only LongCat 2.0 measured |
| Neither model has a result on the other 44 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 | Fireworks Ember-1 | Meituan LongCat 2.0 |
|---|---|---|
| Maker | Fireworks | Meituan |
| Weights | No public weights listed | Open weights |
| Released | September 24, 2026 | July 20, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $3.00 | $0.30 |
| Output $/Mtok | $15.00 | $1.20 |
| Coding index | 52.6 | Not benchmarked |
| Independent measurements behind it | 2 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Ember-1 better than LongCat 2.0 for coding?
Only Ember-1 has a coding score, 52.6 on the Vibe Coding Index; LongCat 2.0 has none, so the two cannot be ranked on coding. Pick LongCat 2.0 for output tokens 12.5x cheaper ($1.20 vs $15.00 per million) and a larger context window (1.05M against 1.05M tokens).
Which is cheaper, Ember-1 or LongCat 2.0?
Ember-1 costs $3.00 per million input tokens and $15.00 per million output tokens; LongCat 2.0 costs $0.30 and $1.20. Cost per solved task is known for neither of them.
Which has the bigger context window, Ember-1 or LongCat 2.0?
LongCat 2.0, with 1.05M tokens against 1.05M.
Has any benchmark tested both Ember-1 and LongCat 2.0?
No benchmark has tested both yet. Ember-1 has results on Terminal-Bench 4 (Vals AI), Vibe Code Bench (Vals AI) and Code migration (Vals AI); LongCat 2.0 on AA Coding Index, SciCode and ALE-Bench. Compare them on price and context instead. Data as of October 22, 2026.