Macaron V1 Tall vs LongCat-2.0 vs Solar Pro 4
Too close to call on our weighted score (Macaron V1 Tall 55, Solar Pro 4 53, LongCat-2.0 53). The right pick depends on what you value most.
Mindlab
Macaron V1 Tall
55/100- ECI—
- Price$0.247 / $1.43
- Context262K
Meituan (LongCat)LongCat-2.0
53/100- ECI—
- Price$0.30 / $1.20
- Context1M
UpstageSolar Pro 4
53/100- ECI—
- Price$0.30 / $1.20
- Context524K
Too close to call
It is close. Our weighted score puts them within 2 points (Macaron V1 Tall 55/100, Solar Pro 4 53/100, LongCat-2.0 53/100), so choose by what matters most for your work: LongCat-2.0 on price and LongCat-2.0 for long inputs. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceLongCat-2.0 and Solar Pro 4LongCat-2.0 $0.525 · Solar Pro 4 $0.525 · Macaron V1 Tall $0.543 per 1M tokens (3:1 blend)
- Longest contextLongCat-2.0LongCat-2.0 1,000,000 · Solar Pro 4 524,288 · Macaron V1 Tall 262,144 tokens
- Widest inputsMacaron V1 TallMacaron V1 Tall: Text, Images · LongCat-2.0: Text · Solar Pro 4: Text
- Self-hostingMacaron V1 Tall and LongCat-2.0Publishes downloadable weights (MIT)
| Measure | Weight | Macaron V1 Tall | LongCat-2.0 | Solar Pro 4 |
|---|---|---|---|---|
| Price | 50% | 60 | 60 | 60 |
| Inputs & features | 30% | 60 | 35 | 45 |
| Context window | 20% | 37 | 60 | 49 |
| Overall | 100% | 55/100 | 53/100 | 53/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Macaron V1 TallMindlab | LongCat-2.0Meituan (LongCat) | Solar Pro 4Upstage |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.247 (best) | $0.30 | $0.30 |
| Output | $1.43 | $1.20 (best) | $1.20 (best) |
| Cached input | — | $0.006 (best) | $0.06 |
| Blended (3:1) | $0.543 | $0.525 (best) | $0.525 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 1 providers | Official LongCat API | Official Upstage API |
| Limits | |||
| Context window | 262,144 tokens | 1,000,000 tokens (best) | 524,288 tokens |
| Max output | 32,768 tokens | 131,072 tokens (best) | 131,072 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | Yes | Yesminimal · low · medium · high · xhigh · max |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | Yes |
| Availability | |||
| Weights | OpenMIT | Open | Proprietary |
| API model ID | — | LongCat-2.0 | solar-pro4 |
| API providers | 1 | 7 (best) | 6 |
| Released | Jul 21, 2026 | Jun 30, 2026 | Aug 6, 2026 |
| Knowledge cutoff | — | — | Feb 2026 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Macaron V1 Tall$5.33
- LongCat-2.0$5.40
- Solar Pro 4$5.40
Which should you choose?
Which is better: Macaron V1 Tall, LongCat-2.0 or Solar Pro 4?
It is close. Our weighted score puts them within 2 points (Macaron V1 Tall 55/100, Solar Pro 4 53/100, LongCat-2.0 53/100), so choose by what matters most for your work: LongCat-2.0 on price and LongCat-2.0 for long inputs. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Macaron V1 Tall, LongCat-2.0 or Solar Pro 4?
LongCat-2.0 is cheaper at $0.30 input / $1.20 output per million tokens (official LongCat API price). Solar Pro 4 costs $0.30 input / $1.20 output per million tokens (official Upstage API price); Macaron V1 Tall costs $0.247 input / $1.43 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $0.525 per million tokens for LongCat-2.0 versus $0.525 for Solar Pro 4 (1× as much) and $0.543 for Macaron V1 Tall (1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Macaron V1 Tall has not been scored yet, LongCat-2.0 has not been scored yet and Solar Pro 4 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Macaron V1 Tall, LongCat-2.0 and Solar Pro 4 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.
Which has the bigger context window?
LongCat-2.0 has the largest context window at 1,000,000 tokens, against 524,288 for Solar Pro 4 and 262,144 for Macaron V1 Tall. Maximum output per response: Macaron V1 Tall up to 32,768, LongCat-2.0 up to 131,072, Solar Pro 4 up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Macaron V1 Tall accepts text and images; LongCat-2.0 accepts text; Solar Pro 4 accepts text. Macaron V1 Tall handles the widest range of inputs.
Are any of these open source?
Macaron V1 Tall and LongCat-2.0 publishes its weights (MIT) and can be self-hosted; Solar Pro 4 is proprietary.
Which is newer?
Solar Pro 4 is the newest, released Aug 6, 2026. Macaron V1 Tall came out Jul 21, 2026; LongCat-2.0 came out Jun 30, 2026. Knowledge cutoff: Solar Pro 4 Feb 2026.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Nov 2, 2026.
