Compare / head-to-head
LongCat 2.0vsPhi-4 Multimodal Instruct
LongCat 2.0 and Phi-4 Multimodal Instruct do not yet share a public benchmark, so quality cannot be compared apples-to-apples. LongCat 2.0 has the larger context window (1M tokens).
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
0
no overlap yet
Cheaper per token
—
list price, input + output
Larger context
LongCat 2.0
1M tokens
Provider uptime (30d)
— · —
Meituan LongCat · Microsoft
LongCat 2.0
Meituan LongCat · released 2026-06-30
text
- Context
- 1M
- Max out
- —
- Input /1M
- —
- Output /1M
- —
- Cached /1M
- —
- Scores
- 10 · 4 core
Phi-4 Multimodal Instruct
Microsoft · released 2025-02-26
textvisionaudio
- Context
- 128K
- Max out
- 4K
- Input /1M
- —
- Output /1M
- —
- Cached /1M
- —
- Scores
- 19 · 0 core
Quality
Benchmark matrix
0 shared · 10 only LongCat 2.0 · 19 only Phi-4 Multimodal Instruct| Benchmark | LongCat 2.0 | Phi-4 Multimodal Instruct | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 0 | ||||
| No public benchmark is reported for both models yet. | ||||
| Only LongCat 2.0 reports · 10 | ||||
| GPQA Diamond | 88.9% ↗ | not reported | — | — |
| BrowseComp | 79.9% ↗ | not reported | — | — |
| FORTE | 73.2% ↗ | not reported | — | — |
| IFEval | 90% ↗ | not reported | — | — |
| IMO-AnswerBench | 81.8% ↗ | not reported | — | — |
| RWSearch | 78.8% ↗ | not reported | — | — |
| SWE-bench Multilingual | 77.3% ↗ | not reported | — | — |
| SWE-bench Pro | 59.5% ↗ | not reported | — | — |
| Terminal-Bench 2.1 | 70.8% ↗ | not reported | — | — |
| Writing Bench | 83.8% ↗ | not reported | — | — |
| Only Phi-4 Multimodal Instruct reports · 19 | ||||
| AI2D | not reported | 82.3% ↗ | — | — |
| BLINK | not reported | 61.3% ↗ | — | — |
| ChartQA | not reported | 81.4% ↗ | — | — |
| DocVQA | not reported | 93.2% ↗ | — | — |
| InfoVQA | not reported | 72.7% ↗ | — | — |
| InterGPS | not reported | 48.6% ↗ | — | — |
| MathVista testmini | not reported | 62.4% ↗ | — | — |
| MMBench (dev-en) | not reported | 86.7% ↗ | — | — |
| MMMU | not reported | 55.1% ↗ | — | — |
| MMMU-Pro (standard/vision) | not reported | 38.5% ↗ | — | — |
| OCRBench | not reported | 84.4% ↗ | — | — |
| POPE | not reported | 85.6% ↗ | — | — |
| ScienceQA Visual | not reported | 97.5% ↗ | — | — |
| Speech AI2D | not reported | 68.9% ↗ | — | — |
| Speech ChartQA | not reported | 69% ↗ | — | — |
| Speech DocVQA | not reported | 87.3% ↗ | — | — |
| Speech InfoVQA | not reported | 63.7% ↗ | — | — |
| TextVQA (val) | not reported | 75.6% ↗ | — | — |
| Video-MME (16 frames) | not reported | 55% ↗ | — | — |
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 2.0 minus Phi-4 Multimodal Instruct 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 2.0 | Phi-4 Multimodal Instruct | Edge |
|---|---|---|---|
| Context window | 1M tokens | 128K tokens | LongCat 2.0 |
| Max output | — | 4K 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 · vision · audio | Phi-4 Multimodal Instruct |
| Released | 2026-06-30 | 2025-02-26 | — |
| Cited benchmark scores | 10 | 19 | — |
Reliability
Provider status
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LongCat 2.0 vs …
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Phi-4 Multimodal Instruct vs …
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