Rnj-1 Instruct vs MiMo-V2-Flash
MiMo-V2-Flash comes out ahead, 60 to 50 on our weighted score.
Essential AI
Rnj-1 Instruct
50/100- ECI—
- Price$0.15 / $0.15
- Context33K
- Our pick
XiaomiMiMo-V2-Flash
60/100- ECI—
- Price$0.10 / $0.30
- Context262K
Add a model
Make it a three-way comparison.
MiMo-V2-Flash is our pick
MiMo-V2-Flash is the better all-round choice, scoring 60/100 against Rnj-1 Instruct (50). 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 priceSame priceRnj-1 Instruct $0.15 · MiMo-V2-Flash $0.15 per 1M tokens (3:1 blend)
- Longest contextMiMo-V2-FlashMiMo-V2-Flash 262,144 · Rnj-1 Instruct 32,768 tokens
- Widest inputsSame inputsRnj-1 Instruct: Text · MiMo-V2-Flash: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Rnj-1 Instruct | MiMo-V2-Flash |
|---|---|---|---|
| Price | 50% | 85 | 85 |
| Inputs & features | 30% | 25 | 35 |
| Context window | 20% | 0 | 37 |
| Overall | 100% | 50/100 | 60/100 |
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 | Rnj-1 InstructEssential AI | MiMo-V2-FlashXiaomi |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.15 | $0.10 (best) |
| Output | $0.15 (best) | $0.30 |
| Cached input | — | — |
| Blended (3:1) | $0.15 | $0.15 |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 1 providers | Median of 3 providers |
| Limits | ||
| Context window | 32,768 tokens | 262,144 tokens (best) |
| Max output | 32,768 tokens | 65,536 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | OpenApache 2.0 | Open |
| API model ID | — | — |
| API providers | 1 | 4 (best) |
| Released | Dec 4, 2025 | Dec 16, 2025 |
| Knowledge cutoff | — | Dec 1, 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Rnj-1 Instruct$1.80
- MiMo-V2-Flash$1.60
Which should you choose?
Which is better: Rnj-1 Instruct or MiMo-V2-Flash?
MiMo-V2-Flash is the better all-round choice, scoring 60/100 against Rnj-1 Instruct (50). 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, Rnj-1 Instruct or MiMo-V2-Flash?
Rnj-1 Instruct and MiMo-V2-Flash cost the same: $0.15 input / $0.15 output per million tokens.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Rnj-1 Instruct has not been scored yet and MiMo-V2-Flash has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Rnj-1 Instruct and MiMo-V2-Flash yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.
Which has the bigger context window?
MiMo-V2-Flash has the largest context window at 262,144 tokens, against 32,768 for Rnj-1 Instruct. Maximum output per response: Rnj-1 Instruct up to 32,768, MiMo-V2-Flash up to 65,536 tokens.
Which can read images, PDFs, audio or video?
Rnj-1 Instruct accepts text; MiMo-V2-Flash accepts text. They handle the same number of input types.
Are any of these open source?
Yes, both publish their weights (Apache 2.0), so you can self-host them.
Which is newer?
MiMo-V2-Flash is the newest, released Dec 16, 2025. Rnj-1 Instruct came out Dec 4, 2025. Knowledge cutoff: MiMo-V2-Flash Dec 1, 2024.
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 Nov 2, 2026.
