GLM-4.6V-Flash vs Jamba Mini
GLM-4.6V-Flash comes out ahead, 65 to 57 on our weighted score.
- Our pick
Z.ai (Zhipu)GLM-4.6V-Flash
65/100- ECI—
- Price$0.161 / $0.559
- Context128K
AI21 LabsJamba Mini
57/100- ECI—
- Price$0.20 / $0.40
- Context256K
Add a model
Make it a three-way comparison.
GLM-4.6V-Flash is our pick
GLM-4.6V-Flash is the better all-round choice, scoring 65/100 against Jamba Mini (57). It leads on inputs & features. Jamba Mini wins on 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 priceJamba MiniJamba Mini $0.25 · GLM-4.6V-Flash $0.261 per 1M tokens (3:1 blend)
- Longest contextJamba MiniJamba Mini 256,000 · GLM-4.6V-Flash 128,000 tokens
- Widest inputsGLM-4.6V-FlashGLM-4.6V-Flash: Text, Images, Video · Jamba Mini: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | GLM-4.6V-Flash | Jamba Mini |
|---|---|---|---|
| Price | 50% | 78 | 78 |
| Inputs & features | 30% | 70 | 35 |
| Context window | 20% | 24 | 36 |
| Overall | 100% | 65/100 | 57/100 |
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-4.6V-FlashZ.ai (Zhipu) | Jamba MiniAI21 Labs |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.161 (best) | $0.20 |
| Output | $0.559 | $0.40 (best) |
| Cached input | — | — |
| Blended (3:1) | $0.261 | $0.25 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 2 providers | Official AI21 Labs API |
| Limits | ||
| Context window | 128,000 tokens | 256,000 tokens (best) |
| Max output | 32,768 tokens (best) | 4,096 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | No | No |
| Audio | No | No |
| Video | Yes | No |
| Reasoning | Yes | No |
| Tool calling | Yes | Yes |
| Structured output | No | Yes |
| Availability | ||
| Weights | Open | Open |
| API model ID | glm-4.6v-flash | jamba-mini |
| API providers | 6 (best) | 1 |
| Released | Dec 8, 2025 | Jan 1, 2026 |
| Knowledge cutoff | — | Aug 22, 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- GLM-4.6V-Flash$2.73
- Jamba Mini$2.80
Which should you choose?
Which is better: GLM-4.6V-Flash or Jamba Mini?
GLM-4.6V-Flash is the better all-round choice, scoring 65/100 against Jamba Mini (57). It leads on inputs & features. Jamba Mini wins on 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-4.6V-Flash or Jamba Mini?
Jamba Mini is cheaper at $0.20 input / $0.40 output per million tokens (official AI21 Labs API price). GLM-4.6V-Flash costs $0.161 input / $0.559 output per million tokens (median across 2 API providers; free on Z.AI). At a typical mix of three input tokens to one output token, that is $0.25 per million tokens for Jamba Mini versus $0.261 for GLM-4.6V-Flash (1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. GLM-4.6V-Flash has not been scored yet and Jamba Mini has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for GLM-4.6V-Flash and Jamba Mini 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?
Jamba Mini has the largest context window at 256,000 tokens, against 128,000 for GLM-4.6V-Flash. Maximum output per response: GLM-4.6V-Flash up to 32,768, Jamba Mini up to 4,096 tokens.
Which can read images, PDFs, audio or video?
GLM-4.6V-Flash accepts text, images and video; Jamba Mini accepts text. GLM-4.6V-Flash handles the widest range of inputs.
Are any of these open source?
Yes, both publish their weights, so you can self-host them.
Which is newer?
Jamba Mini is the newest, released Jan 1, 2026. GLM-4.6V-Flash came out Dec 8, 2025. Knowledge cutoff: Jamba Mini Aug 22, 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 Oct 4, 2026.
