Grok Build 0.1 vs LongCat-2.5-Preview vs MiniMax-M2.7-highspeed
Too close to call on our weighted score (Grok Build 0.1 54, LongCat-2.5-Preview 52, MiniMax-M2.7-highspeed 41). The right pick depends on what you value most.
xAIGrok Build 0.1
54/100- ECI—
- Price$1.00 / $2.00
- Context256K
Meituan (LongCat)LongCat-2.5-Preview
52/100- ECI—
- Price$0.75 / $2.95
- Context1M
MiniMaxMiniMax-M2.7-highspeed
41/100- ECI—
- Price$0.60 / $2.40
- Context205K
Too close to call
It is close. Our weighted score puts them within 2 points (Grok Build 0.1 54/100, LongCat-2.5-Preview 52/100, MiniMax-M2.7-highspeed 41/100), so choose by what matters most for your work: MiniMax-M2.7-highspeed on price and LongCat-2.5-Preview 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 priceMiniMax-M2.7-highspeedMiniMax-M2.7-highspeed $1.05 · Grok Build 0.1 $1.25 · LongCat-2.5-Preview $1.30 per 1M tokens (3:1 blend)
- Longest contextLongCat-2.5-PreviewLongCat-2.5-Preview 1,000,000 · Grok Build 0.1 256,000 · MiniMax-M2.7-highspeed 204,800 tokens
- Widest inputsGrok Build 0.1Grok Build 0.1: Text, Images, PDFs · LongCat-2.5-Preview: Text, Images · MiniMax-M2.7-highspeed: Text
- Self-hostingMiniMax-M2.7-highspeedPublishes downloadable weights
| Measure | Weight | Grok Build 0.1 | LongCat-2.5-Preview | MiniMax-M2.7-highspeed |
|---|---|---|---|---|
| Price | 50% | 45 | 44 | 49 |
| Inputs & features | 30% | 80 | 60 | 35 |
| Context window | 20% | 36 | 60 | 32 |
| Overall | 100% | 54/100 | 52/100 | 41/100 |
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 | Grok Build 0.1xAI | LongCat-2.5-PreviewMeituan (LongCat) | MiniMax-M2.7-highspeedMiniMax |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $1.00 | $0.75 | $0.60 (best) |
| Output | $2.00 (best) | $2.95 | $2.40 |
| Cached input | $0.20 | — | $0.06 (best) |
| Blended (3:1) | $1.25 | $1.30 | $1.05 (best) |
| Long-context rate | Over 200K: $2.00 / $4.00 | Same rate | Same rate |
| Price source | Official xAI API | Median of 1 providers | Official MiniMax (minimax.io) API |
| Limits | |||
| Context window | 256,000 tokens | 1,000,000 tokens (best) | 204,800 tokens |
| Max output | 256,000 tokens (best) | 131,072 tokens | 131,072 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | Yes | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | No |
| Availability | |||
| Weights | Proprietary | Proprietary | Open |
| API model ID | grok-build-0.1 | — | MiniMax-M2.7-highspeed |
| API providers | 19 (best) | 2 | 14 |
| Released | Apr 16, 2026 | Sep 25, 2026 | Mar 18, 2026 |
| Knowledge cutoff | — | — | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Grok Build 0.1$14.00
- LongCat-2.5-Preview$13.40
- MiniMax-M2.7-highspeed$10.80
Which should you choose?
Which is better: Grok Build 0.1, LongCat-2.5-Preview or MiniMax-M2.7-highspeed?
It is close. Our weighted score puts them within 2 points (Grok Build 0.1 54/100, LongCat-2.5-Preview 52/100, MiniMax-M2.7-highspeed 41/100), so choose by what matters most for your work: MiniMax-M2.7-highspeed on price and LongCat-2.5-Preview 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, Grok Build 0.1, LongCat-2.5-Preview or MiniMax-M2.7-highspeed?
MiniMax-M2.7-highspeed is cheaper at $0.60 input / $2.40 output per million tokens (official MiniMax (minimax.io) API price). Grok Build 0.1 costs $1.00 input / $2.00 output per million tokens (official xAI API price); LongCat-2.5-Preview costs $0.75 input / $2.95 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $1.05 per million tokens for MiniMax-M2.7-highspeed versus $1.25 for Grok Build 0.1 (1.2× as much) and $1.30 for LongCat-2.5-Preview (1.2× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Grok Build 0.1 has not been scored yet, LongCat-2.5-Preview has not been scored yet and MiniMax-M2.7-highspeed has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Grok Build 0.1, LongCat-2.5-Preview and MiniMax-M2.7-highspeed 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-2.5-Preview has the largest context window at 1,000,000 tokens, against 256,000 for Grok Build 0.1 and 204,800 for MiniMax-M2.7-highspeed. Maximum output per response: Grok Build 0.1 up to 256,000, LongCat-2.5-Preview up to 131,072, MiniMax-M2.7-highspeed up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Grok Build 0.1 accepts text, images and PDFs; LongCat-2.5-Preview accepts text and images; MiniMax-M2.7-highspeed accepts text. Grok Build 0.1 handles the widest range of inputs.
Are any of these open source?
MiniMax-M2.7-highspeed publishes its weights and can be self-hosted; Grok Build 0.1 and LongCat-2.5-Preview is proprietary.
Which is newer?
LongCat-2.5-Preview is the newest, released Sep 25, 2026. Grok Build 0.1 came out Apr 16, 2026; MiniMax-M2.7-highspeed came out Mar 18, 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 Oct 4, 2026.
