MiniCPM5-2B vs Ling 3.0 Flash Sante vs GPT-6 Astra (Fast)
GPT-6 Astra (Fast) comes out ahead, 66 to 36 and 31 on our weighted score, though Ling 3.0 Flash Sante is 360× cheaper per token.
OpenBMB
MiniCPM5-2B
31/100- ECI—
- Price—
- Context131K
inclusionAILing 3.0 Flash Sante
36/100- ECI—
- Price$0.075 / $0.22
- Context262K
- Our pick
OpenAIGPT-6 Astra (Fast)
66/100- ECI—
- Price$20.00 / $100.00
- Context1.05M
GPT-6 Astra (Fast) is our pick
GPT-6 Astra (Fast) is the better all-round choice, scoring 66/100 against Ling 3.0 Flash Sante (36) and MiniCPM5-2B (31). 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 priceLing 3.0 Flash SanteLing 3.0 Flash Sante $0.111 · GPT-6 Astra (Fast) $40.00 per 1M tokens (3:1 blend) · MiniCPM5-2B unpriced
- Longest contextGPT-6 Astra (Fast)GPT-6 Astra (Fast) 1,050,000 · Ling 3.0 Flash Sante 262,144 · MiniCPM5-2B 131,072 tokens
- Widest inputsGPT-6 Astra (Fast)MiniCPM5-2B: Text · Ling 3.0 Flash Sante: Text · GPT-6 Astra (Fast): Text, Images, PDFs
- Self-hostingMiniCPM5-2BPublishes downloadable weights (apache-2.0)
| Measure | Weight | MiniCPM5-2B | Ling 3.0 Flash Sante | GPT-6 Astra (Fast) |
|---|---|---|---|---|
| Inputs & features | 60% | 35 | 35 | 70 |
| Context window | 40% | 25 | 37 | 61 |
| Overall | 100% | 31/100 | 36/100 | 66/100 |
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 | MiniCPM5-2BOpenBMB | Ling 3.0 Flash SanteinclusionAI | GPT-6 Astra (Fast)OpenAI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | — | $0.075 (best) | $20.00 |
| Output | — | $0.22 (best) | $100.00 |
| Cached input | — | — | — |
| Blended (3:1) | — | $0.111 (best) | $40.00 |
| Long-context rate | — | Same rate | Same rate |
| Price source | — | Median of 2 providers | Median of 1 providers |
| Limits | |||
| Context window | 131,072 tokens | 262,144 tokens | 1,050,000 tokens (best) |
| Max output | 131,072 tokens (best) | 32,768 tokens | 128,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | Yes |
| PDFs | No | No | Yes |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Openapache-2.0 | Proprietary | Proprietary |
| API model ID | — | — | — |
| API providers | 1 | 2 (best) | 1 |
| Released | Sep 6, 2026 | Sep 4, 2026 | Sep 4, 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.
- MiniCPM5-2B—
- Ling 3.0 Flash Sante$1.19
- GPT-6 Astra (Fast)$400.00
Which should you choose?
Which is better: MiniCPM5-2B, Ling 3.0 Flash Sante or GPT-6 Astra (Fast)?
GPT-6 Astra (Fast) is the better all-round choice, scoring 66/100 against Ling 3.0 Flash Sante (36) and MiniCPM5-2B (31). 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, MiniCPM5-2B, Ling 3.0 Flash Sante or GPT-6 Astra (Fast)?
Ling 3.0 Flash Sante is cheaper at $0.075 input / $0.22 output per million tokens (median across 2 API providers). GPT-6 Astra (Fast) costs $20.00 input / $100.00 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $0.111 per million tokens for Ling 3.0 Flash Sante versus $40.00 for GPT-6 Astra (Fast) (360× as much). MiniCPM5-2B has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. MiniCPM5-2B has not been scored yet, Ling 3.0 Flash Sante has not been scored yet and GPT-6 Astra (Fast) has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for MiniCPM5-2B, Ling 3.0 Flash Sante and GPT-6 Astra (Fast) 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?
GPT-6 Astra (Fast) has the largest context window at 1,050,000 tokens, against 262,144 for Ling 3.0 Flash Sante and 131,072 for MiniCPM5-2B. Maximum output per response: MiniCPM5-2B up to 131,072, Ling 3.0 Flash Sante up to 32,768, GPT-6 Astra (Fast) up to 128,000 tokens.
Which can read images, PDFs, audio or video?
MiniCPM5-2B accepts text; Ling 3.0 Flash Sante accepts text; GPT-6 Astra (Fast) accepts text, images and PDFs. GPT-6 Astra (Fast) 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; Ling 3.0 Flash Sante and GPT-6 Astra (Fast) is proprietary.
Which is newer?
MiniCPM5-2B is the newest, released Sep 6, 2026. Ling 3.0 Flash Sante came out Sep 4, 2026; GPT-6 Astra (Fast) came out Sep 4, 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 Nov 2, 2026.
