GLM-5.3-Flash vs MiniCPM5-2B vs Qwen3.8 Flash Next
GLM-5.3-Flash comes out ahead, 79 to 70 and 53 on our weighted score, and it is the cheaper option too.
- Our pick
Z.ai (Zhipu)GLM-5.3-Flash
79/100- ECI151.9
- Price$0.15 / $0.50
- Context1M
OpenBMB
MiniCPM5-2B
53/100- ECI—
- Price$0.124 / $0.743
- Context131K
Alibaba (Qwen)Qwen3.8 Flash Next
70/100- ECI—
- Price$0.20 / $0.50
- Context262K
GLM-5.3-Flash is our pick
GLM-5.3-Flash is the better all-round choice, scoring 79/100 against Qwen3.8 Flash Next (70) and 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 priceGLM-5.3-FlashGLM-5.3-Flash $0.237 · Qwen3.8 Flash Next $0.275 · MiniCPM5-2B $0.279 per 1M tokens (3:1 blend)
- Longest contextGLM-5.3-FlashGLM-5.3-Flash 1,000,000 · Qwen3.8 Flash Next 262,144 · MiniCPM5-2B 131,072 tokens
- Widest inputsGLM-5.3-FlashGLM-5.3-Flash: Text, Images, PDFs, Video · MiniCPM5-2B: Text · Qwen3.8 Flash Next: Text, Images, Video
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | GLM-5.3-Flash | MiniCPM5-2B | Qwen3.8 Flash Next |
|---|---|---|---|---|
| Price | 50% | 79 | 76 | 76 |
| Inputs & features | 30% | 90 | 35 | 80 |
| Context window | 20% | 60 | 24 | 37 |
| Overall | 100% | 79/100 | 53/100 | 70/100 |
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 | GLM-5.3-FlashZ.ai (Zhipu) | MiniCPM5-2BOpenBMB | Qwen3.8 Flash NextAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 151.9 | — | — |
| ECI rank | #42 of 148 | — | — |
| GPQA DiamondGraduate-level science questions | 90.2% | — | — |
| FrontierMath Tiers 1–3Research-level mathematics | 55.8% | — | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 93.9% | — | — |
| Price per million tokens | |||
| Input | $0.15 | $0.124 (best) | $0.20 |
| Output | $0.50 (best) | $0.743 | $0.50 (best) |
| Cached input | $0.03 | — | — |
| Blended (3:1) | $0.237 (best) | $0.279 | $0.275 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Z.AI API | Median of 1 providers | Median of 5 providers |
| Limits | |||
| Context window | 1,000,000 tokens (best) | 131,072 tokens | 262,144 tokens |
| Max output | 131,072 tokens | 131,072 tokens | 131,072 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | Yes |
| PDFs | Yes | No | No |
| Audio | No | No | No |
| Video | Yes | No | Yes |
| Reasoning | Yeslow · high · max | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | Yes |
| Availability | |||
| Weights | Open | Openapache-2.0 | Openqwen-community-1.0 |
| API model ID | glm-5.3-flash | — | — |
| API providers | 65 (best) | 1 | 5 |
| Released | Aug 26, 2026 | Sep 6, 2026 | Aug 27, 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.
- GLM-5.3-Flash$2.50
- MiniCPM5-2B$2.73
- Qwen3.8 Flash Next$3.00
Which should you choose?
Which is better: GLM-5.3-Flash, MiniCPM5-2B or Qwen3.8 Flash Next?
GLM-5.3-Flash is the better all-round choice, scoring 79/100 against Qwen3.8 Flash Next (70) and 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, GLM-5.3-Flash, MiniCPM5-2B or Qwen3.8 Flash Next?
GLM-5.3-Flash is cheaper at $0.15 input / $0.50 output per million tokens (official Z.AI API price). Qwen3.8 Flash Next costs $0.20 input / $0.50 output per million tokens (median across 5 API providers); 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 $0.237 per million tokens for GLM-5.3-Flash versus $0.275 for Qwen3.8 Flash Next (1.2× as much) and $0.279 for MiniCPM5-2B (1.2× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. GLM-5.3-Flash has an ECI of 151.9, MiniCPM5-2B has not been scored yet and Qwen3.8 Flash Next has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for GLM-5.3-Flash, MiniCPM5-2B and Qwen3.8 Flash Next 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?
GLM-5.3-Flash has the largest context window at 1,000,000 tokens, against 262,144 for Qwen3.8 Flash Next and 131,072 for MiniCPM5-2B. Maximum output per response: GLM-5.3-Flash up to 131,072, MiniCPM5-2B up to 131,072, Qwen3.8 Flash Next up to 131,072 tokens.
Which can read images, PDFs, audio or video?
GLM-5.3-Flash accepts text, images, PDFs and video; MiniCPM5-2B accepts text; Qwen3.8 Flash Next accepts text, images and video. GLM-5.3-Flash handles the widest range of inputs.
Are any of these open source?
Yes, all three publish their weights (apache-2.0 and qwen-community-1.0), so you can self-host them.
Which is newer?
MiniCPM5-2B is the newest, released Sep 6, 2026. Qwen3.8 Flash Next came out Aug 27, 2026; GLM-5.3-Flash came out Aug 26, 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.
