Ministral 14B vs GLM-4.7-FlashX vs Seed 2.0 Lite
Seed 2.0 Lite comes out ahead, 73 to 64 and 61 on our weighted score, though GLM-4.7-FlashX is 24% cheaper per token.
Mistral AIMinistral 14B
64/100- ECI—
- Price$0.20 / $0.20
- Context262K
Z.ai (Zhipu)GLM-4.7-FlashX
61/100- ECI—
- Price$0.07 / $0.40
- Context200K
- 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 Ministral 14B (64) and GLM-4.7-FlashX (61). It leads on inputs & features. GLM-4.7-FlashX wins on price. 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-4.7-FlashXGLM-4.7-FlashX $0.152 · Ministral 14B $0.20 · Seed 2.0 Lite $0.20 per 1M tokens (3:1 blend)
- Longest contextMinistral 14BMinistral 14B 262,144 · Seed 2.0 Lite 256,000 · GLM-4.7-FlashX 200,000 tokens
- Widest inputsSeed 2.0 LiteMinistral 14B: Text, Images · GLM-4.7-FlashX: Text · Seed 2.0 Lite: Text, Images, Video
- Self-hostingMinistral 14B and GLM-4.7-FlashXPublishes downloadable weights (Apache-2.0)
| Measure | Weight | Ministral 14B | GLM-4.7-FlashX | Seed 2.0 Lite |
|---|---|---|---|---|
| Price | 50% | 83 | 89 | 83 |
| Inputs & features | 30% | 50 | 35 | 80 |
| Context window | 20% | 37 | 32 | 36 |
| Overall | 100% | 64/100 | 61/100 | 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 | Ministral 14BMistral AI | GLM-4.7-FlashXZ.ai (Zhipu) | Seed 2.0 LiteByteDance Seed |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.20 | $0.07 (best) | $0.089 |
| Output | $0.20 (best) | $0.40 | $0.534 |
| Cached input | — | $0.01 (best) | $0.018 |
| Blended (3:1) | $0.20 | $0.152 (best) | $0.20 |
| Long-context rate | Same rate | Same rate | Over 32K: $0.134 / $0.802 |
| Price source | Median of 1 providers | Official Z.AI API | Official Volcengine Ark API |
| Limits | |||
| Context window | 262,144 tokens (best) | 200,000 tokens | 256,000 tokens |
| Max output | 262,144 tokens (best) | 131,072 tokens | 32,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | Yes |
| Reasoning | No | Yes | Yesminimal · low · medium · high · xhigh · max |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | Yes |
| Availability | |||
| Weights | OpenApache-2.0 | Open | Proprietary |
| API model ID | — | glm-4.7-flashx | doubao-seed-2-0-lite-260428 |
| API providers | 1 | 8 (best) | 6 |
| Released | Dec 2, 2025 | Jan 19, 2026 | Feb 14, 2026 |
| Knowledge cutoff | — | Apr 2025 | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Ministral 14B$2.40
- GLM-4.7-FlashX$1.50
- Seed 2.0 Lite$1.96
Which should you choose?
Which is better: Ministral 14B, GLM-4.7-FlashX or Seed 2.0 Lite?
Seed 2.0 Lite is the better all-round choice, scoring 73/100 against Ministral 14B (64) and GLM-4.7-FlashX (61). It leads on inputs & features. GLM-4.7-FlashX wins on price. 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, Ministral 14B, GLM-4.7-FlashX or Seed 2.0 Lite?
GLM-4.7-FlashX is cheaper at $0.07 input / $0.40 output per million tokens (official Z.AI API price). Ministral 14B costs $0.20 input / $0.20 output per million tokens (median across 1 API provider); Seed 2.0 Lite costs $0.089 input / $0.534 output per million tokens (official Volcengine Ark API price). At a typical mix of three input tokens to one output token, that is $0.152 per million tokens for GLM-4.7-FlashX versus $0.20 for Ministral 14B (1.3× as much) and $0.20 for Seed 2.0 Lite (1.3× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Ministral 14B has not been scored yet, GLM-4.7-FlashX 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 Ministral 14B, GLM-4.7-FlashX 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 14B has the largest context window at 262,144 tokens, against 256,000 for Seed 2.0 Lite and 200,000 for GLM-4.7-FlashX. Maximum output per response: Ministral 14B up to 262,144, GLM-4.7-FlashX up to 131,072, Seed 2.0 Lite up to 32,000 tokens.
Which can read images, PDFs, audio or video?
Ministral 14B accepts text and images; GLM-4.7-FlashX accepts text; Seed 2.0 Lite accepts text, images and video. Seed 2.0 Lite handles the widest range of inputs.
Are any of these open source?
Ministral 14B and GLM-4.7-FlashX 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-4.7-FlashX came out Jan 19, 2026; Ministral 14B came out Dec 2, 2025. Knowledge cutoff: GLM-4.7-FlashX Apr 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.
