GLM-4.6V-Flash vs Ministral 3 14B vs Seed 2.0 Lite
Seed 2.0 Lite comes out ahead, 73 to 65 and 63 on our weighted score, and it is the cheaper option too.
Z.ai (Zhipu)GLM-4.6V-Flash
65/100- ECI—
- Price$0.161 / $0.559
- Context128K
Mistral AIMinistral 3 14B
63/100- ECI—
- Price$0.268 / $0.325
- Context262K
- Our pick
ByteDance SeedSeed 2.0 Lite
73/100- ECI—
- Price$0.089 / $0.534
- Context256K
Seed 2.0 Lite is our pick
Seed 2.0 Lite is the better all-round choice, scoring 73/100 against GLM-4.6V-Flash (65) and Ministral 3 14B (63). It leads on price and inputs & features. 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 priceSeed 2.0 LiteSeed 2.0 Lite $0.20 · GLM-4.6V-Flash $0.261 · Ministral 3 14B $0.282 per 1M tokens (3:1 blend)
- Longest contextMinistral 3 14BMinistral 3 14B 262,144 · Seed 2.0 Lite 256,000 · GLM-4.6V-Flash 128,000 tokens
- Widest inputsGLM-4.6V-Flash and Seed 2.0 LiteGLM-4.6V-Flash: Text, Images, Video · Ministral 3 14B: Text, Images · Seed 2.0 Lite: Text, Images, Video
- Self-hostingGLM-4.6V-Flash and Ministral 3 14BPublishes downloadable weights (Apache 2.0)
| Measure | Weight | GLM-4.6V-Flash | Ministral 3 14B | Seed 2.0 Lite |
|---|---|---|---|---|
| Price | 50% | 78 | 76 | 83 |
| Inputs & features | 30% | 70 | 60 | 80 |
| Context window | 20% | 24 | 37 | 36 |
| Overall | 100% | 65/100 | 63/100 | 73/100 |
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) | Ministral 3 14BMistral AI | Seed 2.0 LiteByteDance Seed |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.161 | $0.268 | $0.089 (best) |
| Output | $0.559 | $0.325 (best) | $0.534 |
| Cached input | — | — | $0.018 |
| Blended (3:1) | $0.261 | $0.282 | $0.20 (best) |
| Long-context rate | Same rate | Same rate | Over 32K: $0.134 / $0.802 |
| Price source | Median of 2 providers | Median of 2 providers | Official Volcengine Ark API |
| Limits | |||
| Context window | 128,000 tokens | 262,144 tokens (best) | 256,000 tokens |
| Max output | 32,768 tokens | 262,144 tokens (best) | 32,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | Yes | No | Yes |
| Reasoning | Yes | No | Yesminimal · low · medium · high · xhigh · max |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | Yes |
| Availability | |||
| Weights | Open | OpenApache 2.0 | Proprietary |
| API model ID | glm-4.6v-flash | — | doubao-seed-2-0-lite-260428 |
| API providers | 6 (best) | 2 | 6 (best) |
| Released | Dec 8, 2025 | Dec 2, 2025 | Feb 14, 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-4.6V-Flash$2.73
- Ministral 3 14B$3.33
- Seed 2.0 Lite$1.96
Which should you choose?
Which is better: GLM-4.6V-Flash, Ministral 3 14B or Seed 2.0 Lite?
Seed 2.0 Lite is the better all-round choice, scoring 73/100 against GLM-4.6V-Flash (65) and Ministral 3 14B (63). It leads on price and inputs & features. 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, Ministral 3 14B or Seed 2.0 Lite?
Seed 2.0 Lite is cheaper at $0.089 input / $0.534 output per million tokens (official Volcengine Ark 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); Ministral 3 14B costs $0.268 input / $0.325 output per million tokens (median across 2 API providers). At a typical mix of three input tokens to one output token, that is $0.20 per million tokens for Seed 2.0 Lite versus $0.261 for GLM-4.6V-Flash (1.3× as much) and $0.282 for Ministral 3 14B (1.4× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. GLM-4.6V-Flash has not been scored yet, Ministral 3 14B has not been scored yet and Seed 2.0 Lite has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for GLM-4.6V-Flash, Ministral 3 14B and Seed 2.0 Lite 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?
Ministral 3 14B has the largest context window at 262,144 tokens, against 256,000 for Seed 2.0 Lite and 128,000 for GLM-4.6V-Flash. Maximum output per response: GLM-4.6V-Flash up to 32,768, Ministral 3 14B up to 262,144, Seed 2.0 Lite up to 32,000 tokens.
Which can read images, PDFs, audio or video?
GLM-4.6V-Flash accepts text, images and video; Ministral 3 14B accepts text and images; Seed 2.0 Lite accepts text, images and video. GLM-4.6V-Flash handles the widest range of inputs.
Are any of these open source?
GLM-4.6V-Flash and Ministral 3 14B publishes its weights (Apache 2.0) and can be self-hosted; Seed 2.0 Lite is proprietary.
Which is newer?
Seed 2.0 Lite is the newest, released Feb 14, 2026. GLM-4.6V-Flash came out Dec 8, 2025; Ministral 3 14B came out Dec 2, 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 Oct 4, 2026.
