MiniMax-M2.5-highspeed vs LongCat-2.5-Preview vs DeepSeek OCR 2
LongCat-2.5-Preview comes out ahead, 52 to 41 and 32 on our weighted score, though DeepSeek OCR 2 is 20% cheaper per token.
MiniMaxMiniMax-M2.5-highspeed
41/100- ECI—
- Price$0.60 / $2.40
- Context205K
- Our pick
Meituan (LongCat)LongCat-2.5-Preview
52/100- ECI—
- Price$0.75 / $2.95
- Context1M
DeepSeekDeepSeek OCR 2
32/100- ECI—
- Price$0.89 / $1.47
- Context8K
LongCat-2.5-Preview is our pick
LongCat-2.5-Preview is the better all-round choice, scoring 52/100 against MiniMax-M2.5-highspeed (41) and DeepSeek OCR 2 (32). It leads on inputs & features and context window. 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 priceDeepSeek OCR 2DeepSeek OCR 2 $1.03 · MiniMax-M2.5-highspeed $1.05 · LongCat-2.5-Preview $1.30 per 1M tokens (3:1 blend)
- Longest contextLongCat-2.5-PreviewLongCat-2.5-Preview 1,000,000 · MiniMax-M2.5-highspeed 204,800 · DeepSeek OCR 2 8,192 tokens
- Widest inputsLongCat-2.5-Preview and DeepSeek OCR 2MiniMax-M2.5-highspeed: Text · LongCat-2.5-Preview: Text, Images · DeepSeek OCR 2: Text, Images
- Self-hostingMiniMax-M2.5-highspeed and DeepSeek OCR 2Publishes downloadable weights
| Measure | Weight | MiniMax-M2.5-highspeed | LongCat-2.5-Preview | DeepSeek OCR 2 |
|---|---|---|---|---|
| Price | 50% | 49 | 44 | 49 |
| Inputs & features | 30% | 35 | 60 | 25 |
| Context window | 20% | 32 | 60 | 0 |
| Overall | 100% | 41/100 | 52/100 | 32/100 |
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 | MiniMax-M2.5-highspeedMiniMax | LongCat-2.5-PreviewMeituan (LongCat) | DeepSeek OCR 2DeepSeek |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.60 (best) | $0.75 | $0.89 |
| Output | $2.40 | $2.95 | $1.47 (best) |
| Cached input | $0.06 | — | — |
| Blended (3:1) | $1.05 | $1.30 | $1.03 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official MiniMax (minimax.io) API | Median of 1 providers | Median of 1 providers |
| Limits | |||
| Context window | 204,800 tokens | 1,000,000 tokens (best) | 8,192 tokens |
| Max output | 131,072 tokens (best) | 131,072 tokens (best) | 8,192 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | Yes | No |
| Tool calling | Yes | Yes | No |
| Structured output | No | No | No |
| Availability | |||
| Weights | Open | Proprietary | Open |
| API model ID | MiniMax-M2.5-highspeed | — | — |
| API providers | 7 (best) | 2 | 2 |
| Released | Feb 13, 2026 | Sep 25, 2026 | Jan 27, 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.
- MiniMax-M2.5-highspeed$10.80
- LongCat-2.5-Preview$13.40
- DeepSeek OCR 2$11.83
Which should you choose?
Which is better: MiniMax-M2.5-highspeed, LongCat-2.5-Preview or DeepSeek OCR 2?
LongCat-2.5-Preview is the better all-round choice, scoring 52/100 against MiniMax-M2.5-highspeed (41) and DeepSeek OCR 2 (32). It leads on inputs & features and context window. 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, MiniMax-M2.5-highspeed, LongCat-2.5-Preview or DeepSeek OCR 2?
DeepSeek OCR 2 is cheaper at $0.89 input / $1.47 output per million tokens (median across 1 API provider). MiniMax-M2.5-highspeed costs $0.60 input / $2.40 output per million tokens (official MiniMax (minimax.io) 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 $1.03 per million tokens for DeepSeek OCR 2 versus $1.05 for MiniMax-M2.5-highspeed (1× as much) and $1.30 for LongCat-2.5-Preview (1.3× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. MiniMax-M2.5-highspeed has not been scored yet, LongCat-2.5-Preview has not been scored yet and DeepSeek OCR 2 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for MiniMax-M2.5-highspeed, LongCat-2.5-Preview and DeepSeek OCR 2 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that DeepSeek OCR 2 does not support tool calling, which most coding agents need.
Which has the bigger context window?
LongCat-2.5-Preview has the largest context window at 1,000,000 tokens, against 204,800 for MiniMax-M2.5-highspeed and 8,192 for DeepSeek OCR 2. Maximum output per response: MiniMax-M2.5-highspeed up to 131,072, LongCat-2.5-Preview up to 131,072, DeepSeek OCR 2 up to 8,192 tokens.
Which can read images, PDFs, audio or video?
MiniMax-M2.5-highspeed accepts text; LongCat-2.5-Preview accepts text and images; DeepSeek OCR 2 accepts text and images. LongCat-2.5-Preview handles the widest range of inputs.
Are any of these open source?
MiniMax-M2.5-highspeed and DeepSeek OCR 2 publishes its weights and can be self-hosted; LongCat-2.5-Preview is proprietary.
Which is newer?
LongCat-2.5-Preview is the newest, released Sep 25, 2026. MiniMax-M2.5-highspeed came out Feb 13, 2026; DeepSeek OCR 2 came out Jan 27, 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.
