MiniCPM5-2B vs GPT-6 Luna
GPT-6 Luna comes out ahead, 78 to 53 on our weighted score, and it is the cheaper option too.
OpenBMB
MiniCPM5-2B
53/100- ECI—
- Price$0.124 / $0.743
- Context131K
- Our pick
OpenAIGPT-6 Luna
78/100- ECI—
- Price$0.10 / $0.50
- Context1.05M
Add a model
Make it a three-way comparison.
GPT-6 Luna is our pick
GPT-6 Luna is the better all-round choice, scoring 78/100 against MiniCPM5-2B (53). 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 priceGPT-6 LunaGPT-6 Luna $0.20 · MiniCPM5-2B $0.279 per 1M tokens (3:1 blend)
- Longest contextGPT-6 LunaGPT-6 Luna 1,050,000 · MiniCPM5-2B 131,072 tokens
- Widest inputsGPT-6 LunaMiniCPM5-2B: Text · GPT-6 Luna: Text, Images, PDFs
- Self-hostingMiniCPM5-2BPublishes downloadable weights (apache-2.0)
| Measure | Weight | MiniCPM5-2B | GPT-6 Luna |
|---|---|---|---|
| Price | 50% | 76 | 83 |
| Inputs & features | 30% | 35 | 80 |
| Context window | 20% | 24 | 61 |
| Overall | 100% | 53/100 | 78/100 |
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 | MiniCPM5-2BOpenBMB | GPT-6 LunaOpenAI |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| GPQA DiamondGraduate-level science questions | — | 90.5% |
| FrontierMath Tiers 1–3Research-level mathematics | — | 79.0% |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 98.9% |
| SimpleQA VerifiedShort factual questions | — | 41.4% |
| Price per million tokens | ||
| Input | $0.124 | $0.10 (best) |
| Output | $0.743 | $0.50 (best) |
| Cached input | — | $0.01 |
| Blended (3:1) | $0.279 | $0.20 (best) |
| Long-context rate | Same rate | Over 272K: $0.20 / $0.75 |
| Price source | Median of 1 providers | Official OpenAI API |
| Limits | ||
| Context window | 131,072 tokens | 1,050,000 tokens (best) |
| Max output | 131,072 tokens (best) | 128,000 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | Yes |
| PDFs | No | Yes |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yes | Yeslow · medium · high · xhigh · max |
| Tool calling | Yes | Yes |
| Structured output | No | Yes |
| Availability | ||
| Weights | Openapache-2.0 | Proprietary |
| API model ID | — | gpt-6-luna |
| API providers | 1 | 24 (best) |
| Released | Sep 6, 2026 | Sep 22, 2026 |
| Knowledge cutoff | — | May 18, 2026 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- MiniCPM5-2B$2.73
- GPT-6 Luna$2.00
Which should you choose?
Which is better: MiniCPM5-2B or GPT-6 Luna?
GPT-6 Luna is the better all-round choice, scoring 78/100 against MiniCPM5-2B (53). 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, MiniCPM5-2B or GPT-6 Luna?
GPT-6 Luna is cheaper at $0.10 input / $0.50 output per million tokens (official OpenAI API price). MiniCPM5-2B costs $0.124 input / $0.743 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 GPT-6 Luna versus $0.279 for MiniCPM5-2B (1.4× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. MiniCPM5-2B has not been scored yet and GPT-6 Luna has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for MiniCPM5-2B and GPT-6 Luna 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?
GPT-6 Luna has the largest context window at 1,050,000 tokens, against 131,072 for MiniCPM5-2B. Maximum output per response: MiniCPM5-2B up to 131,072, GPT-6 Luna up to 128,000 tokens.
Which can read images, PDFs, audio or video?
MiniCPM5-2B accepts text; GPT-6 Luna accepts text, images and PDFs. GPT-6 Luna handles the widest range of inputs.
Are any of these open source?
MiniCPM5-2B publishes its weights (apache-2.0) and can be self-hosted; GPT-6 Luna is proprietary.
Which is newer?
GPT-6 Luna is the newest, released Sep 22, 2026. MiniCPM5-2B came out Sep 6, 2026. Knowledge cutoff: GPT-6 Luna May 18, 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.
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