MiniMax-M2.5-highspeed vs Qwen3.5 Plus vs DeepSeek OCR 2
Qwen3.5 Plus comes out ahead, 59 to 41 and 32 on our weighted score, and it is the cheaper option too.
MiniMaxMiniMax-M2.5-highspeed
41/100- ECI—
- Price$0.60 / $2.40
- Context205K
- Our pick
Alibaba (Qwen)Qwen3.5 Plus
59/100- ECI146.8
- Price$0.40 / $2.40
- Context1M
DeepSeekDeepSeek OCR 2
32/100- ECI—
- Price$0.89 / $1.47
- Context8K
Qwen3.5 Plus is our pick
Qwen3.5 Plus is the better all-round choice, scoring 59/100 against MiniMax-M2.5-highspeed (41) and DeepSeek OCR 2 (32). It leads on price, 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 priceQwen3.5 PlusQwen3.5 Plus $0.90 · DeepSeek OCR 2 $1.03 · MiniMax-M2.5-highspeed $1.05 per 1M tokens (3:1 blend)
- Longest contextQwen3.5 PlusQwen3.5 Plus 1,000,000 · MiniMax-M2.5-highspeed 204,800 · DeepSeek OCR 2 8,192 tokens
- Widest inputsQwen3.5 PlusMiniMax-M2.5-highspeed: Text · Qwen3.5 Plus: Text, Images, Video · DeepSeek OCR 2: Text, Images
- Self-hostingMiniMax-M2.5-highspeed and DeepSeek OCR 2Publishes downloadable weights
| Measure | Weight | MiniMax-M2.5-highspeed | Qwen3.5 Plus | DeepSeek OCR 2 |
|---|---|---|---|---|
| Price | 50% | 49 | 52 | 49 |
| Inputs & features | 30% | 35 | 70 | 25 |
| Context window | 20% | 32 | 60 | 0 |
| Overall | 100% | 41/100 | 59/100 | 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 | Qwen3.5 PlusAlibaba (Qwen) | DeepSeek OCR 2DeepSeek |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | 146.8 | — |
| ECI rank | — | #65 of 148 | — |
| GPQA DiamondGraduate-level science questions | — | 84.9% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 86.7% | — |
| SimpleQA VerifiedShort factual questions | — | 25.4% | — |
| Price per million tokens | |||
| Input | $0.60 | $0.40 (best) | $0.89 |
| Output | $2.40 | $2.40 | $1.47 (best) |
| Cached input | $0.06 | — | — |
| Blended (3:1) | $1.05 | $0.90 (best) | $1.03 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official MiniMax (minimax.io) API | Official Alibaba API | Median of 1 providers |
| Limits | |||
| Context window | 204,800 tokens | 1,000,000 tokens (best) | 8,192 tokens |
| Max output | 131,072 tokens (best) | 65,536 tokens | 8,192 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | Yes | 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 | qwen3.5-plus | — |
| API providers | 7 | 10 (best) | 2 |
| Released | Feb 13, 2026 | Feb 16, 2026 | Jan 27, 2026 |
| Knowledge cutoff | — | Apr 2025 | — |
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
- Qwen3.5 Plus$8.80
- DeepSeek OCR 2$11.83
Which should you choose?
Which is better: MiniMax-M2.5-highspeed, Qwen3.5 Plus or DeepSeek OCR 2?
Qwen3.5 Plus is the better all-round choice, scoring 59/100 against MiniMax-M2.5-highspeed (41) and DeepSeek OCR 2 (32). It leads on price, 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, Qwen3.5 Plus or DeepSeek OCR 2?
Qwen3.5 Plus is cheaper at $0.40 input / $2.40 output per million tokens (official Alibaba API price). DeepSeek OCR 2 costs $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). At a typical mix of three input tokens to one output token, that is $0.90 per million tokens for Qwen3.5 Plus versus $1.03 for DeepSeek OCR 2 (1.1× as much) and $1.05 for MiniMax-M2.5-highspeed (1.2× 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, Qwen3.5 Plus has an ECI of 146.8 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, Qwen3.5 Plus 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?
Qwen3.5 Plus 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, Qwen3.5 Plus up to 65,536, DeepSeek OCR 2 up to 8,192 tokens.
Which can read images, PDFs, audio or video?
MiniMax-M2.5-highspeed accepts text; Qwen3.5 Plus accepts text, images and video; DeepSeek OCR 2 accepts text and images. Qwen3.5 Plus 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; Qwen3.5 Plus is proprietary.
Which is newer?
Qwen3.5 Plus is the newest, released Feb 16, 2026. MiniMax-M2.5-highspeed came out Feb 13, 2026; DeepSeek OCR 2 came out Jan 27, 2026. Knowledge cutoff: Qwen3.5 Plus Apr 2025.
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.
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