Ministral 14B vs Gemini 2.5 Flash-Lite Preview 09-2025 vs Rnj-1 Instruct
Gemini 2.5 Flash-Lite Preview 09-2025 comes out ahead, 81 to 63 and 50 on our weighted score, though Rnj-1 Instruct is 10% cheaper per token.
Mistral AIMinistral 14B
63/100- ECI—
- Price$0.175 / $0.175
- Context262K
- Our pick
GoogleGemini 2.5 Flash-Lite Preview 09-2025
81/100- ECI—
- Price$0.095 / $0.38
- Context1.05M
Essential AI
Rnj-1 Instruct
50/100- ECI—
- Price$0.15 / $0.15
- Context33K
Gemini 2.5 Flash-Lite Preview 09-2025 is our pick
Gemini 2.5 Flash-Lite Preview 09-2025 is the better all-round choice, scoring 81/100 against Ministral 14B (63) and Rnj-1 Instruct (50). It leads on inputs & features and context window. Rnj-1 Instruct wins on price. 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 priceRnj-1 InstructRnj-1 Instruct $0.15 · Gemini 2.5 Flash-Lite Preview 09-2025 $0.166 · Ministral 14B $0.175 per 1M tokens (3:1 blend)
- Longest contextGemini 2.5 Flash-Lite Preview 09-2025Gemini 2.5 Flash-Lite Preview 09-2025 1,048,576 · Ministral 14B 262,144 · Rnj-1 Instruct 32,768 tokens
- Widest inputsGemini 2.5 Flash-Lite Preview 09-2025Ministral 14B: Text, Images · Gemini 2.5 Flash-Lite Preview 09-2025: Text, Images, PDFs, Audio, Video · Rnj-1 Instruct: Text
- Self-hostingMinistral 14B and Rnj-1 InstructPublishes downloadable weights (Apache-2.0 and Apache 2.0)
| Measure | Weight | Ministral 14B | Gemini 2.5 Flash-Lite Preview 09-2025 | Rnj-1 Instruct |
|---|---|---|---|---|
| Price | 50% | 82 | 83 | 85 |
| Inputs & features | 30% | 50 | 90 | 25 |
| Context window | 20% | 37 | 61 | 0 |
| Overall | 100% | 63/100 | 81/100 | 50/100 |
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 | Ministral 14BMistral AI | Gemini 2.5 Flash-Lite Preview 09-2025Google | Rnj-1 InstructEssential AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.175 | $0.095 (best) | $0.15 |
| Output | $0.175 | $0.38 | $0.15 (best) |
| Cached input | — | — | — |
| Blended (3:1) | $0.175 | $0.166 | $0.15 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 2 providers | Median of 2 providers | Median of 1 providers |
| Limits | |||
| Context window | 262,144 tokens | 1,048,576 tokens (best) | 32,768 tokens |
| Max output | 262,144 tokens (best) | 65,536 tokens | 32,768 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | No | Yes | No |
| Audio | No | Yes | No |
| Video | No | Yes | No |
| Reasoning | No | Yes | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | OpenApache-2.0 | Proprietary | OpenApache 2.0 |
| API model ID | — | — | — |
| API providers | 2 (best) | 2 (best) | 1 |
| Released | Dec 2, 2025 | Sep 25, 2025 | Dec 4, 2025 |
| Knowledge cutoff | — | Jan 2025 | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Ministral 14B$2.10
- Gemini 2.5 Flash-Lite Preview 09-2025$1.71
- Rnj-1 Instruct$1.80
Which should you choose?
Which is better: Ministral 14B, Gemini 2.5 Flash-Lite Preview 09-2025 or Rnj-1 Instruct?
Gemini 2.5 Flash-Lite Preview 09-2025 is the better all-round choice, scoring 81/100 against Ministral 14B (63) and Rnj-1 Instruct (50). It leads on inputs & features and context window. Rnj-1 Instruct wins on price. 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, Ministral 14B, Gemini 2.5 Flash-Lite Preview 09-2025 or Rnj-1 Instruct?
Rnj-1 Instruct is cheaper at $0.15 input / $0.15 output per million tokens (median across 1 API provider). Gemini 2.5 Flash-Lite Preview 09-2025 costs $0.095 input / $0.38 output per million tokens (median across 2 API providers); Ministral 14B costs $0.175 input / $0.175 output per million tokens (median across 2 API providers). At a typical mix of three input tokens to one output token, that is $0.15 per million tokens for Rnj-1 Instruct versus $0.166 for Gemini 2.5 Flash-Lite Preview 09-2025 (1.1× as much) and $0.175 for Ministral 14B (1.2× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Ministral 14B has not been scored yet, Gemini 2.5 Flash-Lite Preview 09-2025 has not been scored yet and Rnj-1 Instruct has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Ministral 14B, Gemini 2.5 Flash-Lite Preview 09-2025 and Rnj-1 Instruct yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.
Which has the bigger context window?
Gemini 2.5 Flash-Lite Preview 09-2025 has the largest context window at 1,048,576 tokens, against 262,144 for Ministral 14B and 32,768 for Rnj-1 Instruct. Maximum output per response: Ministral 14B up to 262,144, Gemini 2.5 Flash-Lite Preview 09-2025 up to 65,536, Rnj-1 Instruct up to 32,768 tokens.
Which can read images, PDFs, audio or video?
Ministral 14B accepts text and images; Gemini 2.5 Flash-Lite Preview 09-2025 accepts text, images, PDFs, audio and video; Rnj-1 Instruct accepts text. Gemini 2.5 Flash-Lite Preview 09-2025 handles the widest range of inputs.
Are any of these open source?
Ministral 14B and Rnj-1 Instruct publishes its weights (Apache-2.0 and Apache 2.0) and can be self-hosted; Gemini 2.5 Flash-Lite Preview 09-2025 is proprietary.
Which is newer?
Rnj-1 Instruct is the newest, released Dec 4, 2025. Ministral 14B came out Dec 2, 2025; Gemini 2.5 Flash-Lite Preview 09-2025 came out Sep 25, 2025. Knowledge cutoff: Gemini 2.5 Flash-Lite Preview 09-2025 Jan 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 Nov 2, 2026.
