Compare / head-to-head
LongCat Flash ChatvsNorth Mini Code
North Mini Code leads 1 of 1 shared benchmark. North Mini Code has the larger context window (256K tokens).
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
0 – 1
North Mini Code leads
Cheaper per token
—
list price, input + output
Larger context
North Mini Code
256K tokens
Provider uptime (30d)
— · 100%
Meituan LongCat · Cohere
LongCat Flash Chat
Meituan LongCat · released 2025-09-01
text
- Context
- 128K
- Max out
- —
- Input /1M
- —
- Output /1M
- —
- Cached /1M
- —
- Scores
- 31 · 9 core
North Mini Code
Cohere · released 2026-06-09
text
- Context
- 256K
- Max out
- 64K
- Input /1M
- —
- Output /1M
- —
- Cached /1M
- —
- Scores
- 6 · 2 core
Quality
Benchmark matrix
1 shared · 30 only LongCat Flash Chat · 5 only North Mini Code| Benchmark | LongCat Flash Chat | North Mini Code | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 1 | ||||
| SWE-bench Verified | 60.4% ↗ | 67.6% ↗ | -7.2 pt | North Mini Code |
| Only LongCat Flash Chat reports · 30 | ||||
| GPQA Diamond | 73.23% ↗ | not reported | — | — |
| MMLU | 89.71% ↗ | not reported | — | — |
| MMLU-Pro | 82.68% ↗ | not reported | — | — |
| AIME 2025 | 61.25% ↗ | not reported | — | — |
| LMArena Elo | 1422.9 ↗ | not reported | — | — |
| AceBench | 76.1% ↗ | not reported | — | — |
| AIME 2024 | 70.42% ↗ | not reported | — | — |
| ArenaHard-V2 | 86.5% ↗ | not reported | — | — |
| BeyondAIME | 43% ↗ | not reported | — | — |
| C-Eval | 90.44% ↗ | not reported | — | — |
| CMMLU | 84.34% ↗ | not reported | — | — |
| COLLIE | 57.1% ↗ | not reported | — | — |
| DROP | 79.06% ↗ | not reported | — | — |
| GraphWalks-128k | 51.05% ↗ | not reported | — | — |
| HumanEval+ | 88.41% ↗ | not reported | — | — |
| IFEval | 89.65% ↗ | not reported | — | — |
| LiveCodeBench | 48.02% ↗ | not reported | — | — |
| MATH500 | 96.4% ↗ | not reported | — | — |
| MBPP+ | 79.63% ↗ | not reported | — | — |
| Meeseeks-zh | 43.03% ↗ | not reported | — | — |
| Safety: Criminal | 91.24% ↗ | not reported | — | — |
| Safety: Harmful | 83.98% ↗ | not reported | — | — |
| Safety: Misinformation | 81.72% ↗ | not reported | — | — |
| Safety: Privacy | 93.98% ↗ | not reported | — | — |
| Tau2-Bench (airline) | 58% ↗ | not reported | — | — |
| Tau2-Bench (retail) | 71.27% ↗ | not reported | — | — |
| Tau2-Bench (telecom) | 73.68% ↗ | not reported | — | — |
| TerminalBench | 39.51% ↗ | not reported | — | — |
| VitaBench | 24.3% ↗ | not reported | — | — |
| ZebraLogic | 89.3% ↗ | not reported | — | — |
| Only North Mini Code reports · 5 | ||||
| LiveCodeBench v6 | not reported | 70.3% ↗ | — | — |
| SciCode | not reported | 38.2% ↗ | — | — |
| SWE-bench Pro | not reported | 40.2% ↗ | — | — |
| Terminal-Bench Hard | not reported | 31.1% ↗ | — | — |
| Terminal-Bench v2 | not reported | 36% ↗ | — | — |
Scores tagged "epoch" or "matharena" are independent runs, used only where the lab has not published its own; ⚠ marks rows MathArena flags as released after the competition. Higher is better on every row. Δ is LongCat Flash Chat minus North Mini Code in the benchmark's own unit. "Not reported" means the lab has not published that figure; it is not a zero. ↗ opens the source.
Specs & pricing
Side by side
Official pricing pages and model cards| Spec | LongCat Flash Chat | North Mini Code | Edge |
|---|---|---|---|
| Context window | 128K tokens | 256K tokens | North Mini Code |
| Max output | — | 64K tokens | — |
| Input price / 1M | — | — | — |
| Output price / 1M | — | — | — |
| Cached input / 1M | — | — | — |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | — | — | — |
| Modalities | text | text | Tie |
| Released | 2025-09-01 | 2026-06-09 | — |
| Cited benchmark scores | 31 | 6 | — |
Reliability
Provider status
Last 60 days · refreshed daily on this page · live on /statusMore matchups
LongCat Flash Chat vs …
Models sharing the most benchmarksMore matchups
North Mini Code vs …
Models sharing the most benchmarksBuilt by Respan
Which one wins on your data?
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