MiniMax-M2.5-highspeed vs Tiny Aya Fire vs DeepSeek OCR 2
MiniMax-M2.5-highspeed comes out ahead, 34 to 15 and 15 on our weighted score.
- Our pick
MiniMaxMiniMax-M2.5-highspeed
34/100- ECI—
- Price$0.60 / $2.40
- Context205K
CohereTiny Aya Fire
15/100- ECI—
- Price—
- Context8K
DeepSeekDeepSeek OCR 2
15/100- ECI—
- Price$0.89 / $1.47
- Context8K
MiniMax-M2.5-highspeed is our pick
MiniMax-M2.5-highspeed is the better all-round choice, scoring 34/100 against Tiny Aya Fire (15) and DeepSeek OCR 2 (15). It leads on inputs & features and context window. The score weighs inputs & features 60%, context window 40%. 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 per 1M tokens (3:1 blend) · Tiny Aya Fire unpriced
- Longest contextMiniMax-M2.5-highspeedMiniMax-M2.5-highspeed 204,800 · DeepSeek OCR 2 8,192 · Tiny Aya Fire 8,000 tokens
- Widest inputsDeepSeek OCR 2MiniMax-M2.5-highspeed: Text · Tiny Aya Fire: Text · DeepSeek OCR 2: Text, Images
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | MiniMax-M2.5-highspeed | Tiny Aya Fire | DeepSeek OCR 2 |
|---|---|---|---|---|
| Inputs & features | 60% | 35 | 25 | 25 |
| Context window | 40% | 32 | 0 | 0 |
| Overall | 100% | 34/100 | 15/100 | 15/100 |
Left out because at least one model lacks the data: capability and price. 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 | Tiny Aya FireCohere | DeepSeek OCR 2DeepSeek |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.60 (best) | — | $0.89 |
| Output | $2.40 | — | $1.47 (best) |
| Cached input | $0.06 | — | — |
| Blended (3:1) | $1.05 | — | $1.03 (best) |
| Long-context rate | Same rate | — | Same rate |
| Price source | Official MiniMax (minimax.io) API | — | Median of 1 providers |
| Limits | |||
| Context window | 204,800 tokens (best) | 8,000 tokens | 8,192 tokens |
| Max output | 131,072 tokens (best) | 8,000 tokens | 8,192 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | No | No |
| Tool calling | Yes | Yes | No |
| Structured output | No | No | No |
| Availability | |||
| Weights | Open | OpenCC-BY-NC-4.0 | Open |
| API model ID | MiniMax-M2.5-highspeed | tiny-aya-fire | — |
| API providers | 7 (best) | 1 | 2 |
| Released | Feb 13, 2026 | Feb 17, 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
- Tiny Aya Fire—
- DeepSeek OCR 2$11.83
Which should you choose?
Which is better: MiniMax-M2.5-highspeed, Tiny Aya Fire or DeepSeek OCR 2?
MiniMax-M2.5-highspeed is the better all-round choice, scoring 34/100 against Tiny Aya Fire (15) and DeepSeek OCR 2 (15). It leads on inputs & features and context window. The score weighs inputs & features 60%, context window 40%. 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, Tiny Aya Fire 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). 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). Tiny Aya Fire has no published per-token price.
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, Tiny Aya Fire 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, Tiny Aya Fire 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?
MiniMax-M2.5-highspeed has the largest context window at 204,800 tokens, against 8,192 for DeepSeek OCR 2 and 8,000 for Tiny Aya Fire. Maximum output per response: MiniMax-M2.5-highspeed up to 131,072, Tiny Aya Fire up to 8,000, DeepSeek OCR 2 up to 8,192 tokens.
Which can read images, PDFs, audio or video?
MiniMax-M2.5-highspeed accepts text; Tiny Aya Fire accepts text; DeepSeek OCR 2 accepts text and images. DeepSeek OCR 2 handles the widest range of inputs.
Are any of these open source?
Yes, all three publish their weights (CC-BY-NC-4.0), so you can self-host them.
Which is newer?
Tiny Aya Fire is the newest, released Feb 17, 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.
