DeepSeek OCR 2 vs Ministral 14B vs Trinity Nano Preview
Ministral 14B comes out ahead, 45 to 25 and 15 on our weighted score, and it is the cheaper option too.
DeepSeekDeepSeek OCR 2
15/100- ECI—
- Price$0.89 / $1.47
- Context8K
- Our pick
Mistral AIMinistral 14B
45/100- ECI—
- Price$0.20 / $0.20
- Context262K
Arcee AITrinity Nano Preview
25/100- ECI—
- Price—
- Context131K
Ministral 14B is our pick
Ministral 14B is the better all-round choice, scoring 45/100 against Trinity Nano Preview (25) 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 priceMinistral 14BMinistral 14B $0.20 · DeepSeek OCR 2 $1.03 per 1M tokens (3:1 blend) · Trinity Nano Preview unpriced
- Longest contextMinistral 14BMinistral 14B 262,144 · Trinity Nano Preview 131,072 · DeepSeek OCR 2 8,192 tokens
- Widest inputsDeepSeek OCR 2 and Ministral 14BDeepSeek OCR 2: Text, Images · Ministral 14B: Text, Images · Trinity Nano Preview: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | DeepSeek OCR 2 | Ministral 14B | Trinity Nano Preview |
|---|---|---|---|---|
| Inputs & features | 60% | 25 | 50 | 25 |
| Context window | 40% | 0 | 37 | 24 |
| Overall | 100% | 15/100 | 45/100 | 25/100 |
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 | DeepSeek OCR 2DeepSeek | Ministral 14BMistral AI | Trinity Nano PreviewArcee AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.89 | $0.20 (best) | — |
| Output | $1.47 | $0.20 (best) | — |
| Cached input | — | — | — |
| Blended (3:1) | $1.03 | $0.20 (best) | — |
| Long-context rate | Same rate | Same rate | — |
| Price source | Median of 1 providers | Median of 1 providers | — |
| Limits | |||
| Context window | 8,192 tokens | 262,144 tokens (best) | 131,072 tokens |
| Max output | 8,192 tokens | 262,144 tokens (best) | 131,072 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | No |
| Tool calling | No | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Open | OpenApache-2.0 | OpenOpenMDW-1.1 |
| API model ID | — | — | — |
| API providers | 2 (best) | 1 | — |
| Released | Jan 27, 2026 | Dec 2, 2025 | Dec 1, 2025 |
| 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.
- DeepSeek OCR 2$11.83
- Ministral 14B$2.40
- Trinity Nano Preview—
Which should you choose?
Which is better: DeepSeek OCR 2, Ministral 14B or Trinity Nano Preview?
Ministral 14B is the better all-round choice, scoring 45/100 against Trinity Nano Preview (25) 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, DeepSeek OCR 2, Ministral 14B or Trinity Nano Preview?
Ministral 14B is cheaper at $0.20 input / $0.20 output per million tokens (median across 1 API provider). DeepSeek OCR 2 costs $0.89 input / $1.47 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $0.20 per million tokens for Ministral 14B versus $1.03 for DeepSeek OCR 2 (5.2× as much). Trinity Nano Preview has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. DeepSeek OCR 2 has not been scored yet, Ministral 14B has not been scored yet and Trinity Nano Preview has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for DeepSeek OCR 2, Ministral 14B and Trinity Nano Preview 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?
Ministral 14B has the largest context window at 262,144 tokens, against 131,072 for Trinity Nano Preview and 8,192 for DeepSeek OCR 2. Maximum output per response: DeepSeek OCR 2 up to 8,192, Ministral 14B up to 262,144, Trinity Nano Preview up to 131,072 tokens.
Which can read images, PDFs, audio or video?
DeepSeek OCR 2 accepts text and images; Ministral 14B accepts text and images; Trinity Nano Preview accepts text. DeepSeek OCR 2 handles the widest range of inputs.
Are any of these open source?
Yes, all three publish their weights (Apache-2.0 and OpenMDW-1.1), so you can self-host them.
Which is newer?
DeepSeek OCR 2 is the newest, released Jan 27, 2026. Ministral 14B came out Dec 2, 2025; Trinity Nano Preview came out Dec 1, 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.
