DeepSeek V4 Pro vs Laguna XS.2 vs GLM-5V-Turbo
GLM-5V-Turbo comes out ahead, 61 to 51 and 36 on our weighted score, though DeepSeek V4 Pro is 8% cheaper per token.
DeepSeekDeepSeek V4 Pro
51/100- ECI—
- Price$1.32 / $3.00
- Context1M
PoolsideLaguna XS.2
36/100- ECI—
- Price—
- Context262K
- Our pick
Z.ai (Zhipu)GLM-5V-Turbo
61/100- ECI—
- Price$1.20 / $4.00
- Context200K
GLM-5V-Turbo is our pick
GLM-5V-Turbo is the better all-round choice, scoring 61/100 against DeepSeek V4 Pro (51) and Laguna XS.2 (36). It leads on inputs & features. DeepSeek V4 Pro wins on 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 priceDeepSeek V4 ProDeepSeek V4 Pro $1.74 · GLM-5V-Turbo $1.90 per 1M tokens (3:1 blend) · Laguna XS.2 unpriced
- Longest contextDeepSeek V4 ProDeepSeek V4 Pro 1,000,000 · Laguna XS.2 262,144 · GLM-5V-Turbo 200,000 tokens
- Widest inputsGLM-5V-TurboDeepSeek V4 Pro: Text · Laguna XS.2: Text · GLM-5V-Turbo: Text, Images, PDFs, Video
- Self-hostingDeepSeek V4 Pro and Laguna XS.2Publishes downloadable weights
| Measure | Weight | DeepSeek V4 Pro | Laguna XS.2 | GLM-5V-Turbo |
|---|---|---|---|---|
| Inputs & features | 60% | 45 | 35 | 80 |
| Context window | 40% | 60 | 37 | 32 |
| Overall | 100% | 51/100 | 36/100 | 61/100 |
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 | DeepSeek V4 ProDeepSeek | Laguna XS.2Poolside | GLM-5V-TurboZ.ai (Zhipu) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $1.32 | — | $1.20 (best) |
| Output | $3.00 (best) | — | $4.00 |
| Cached input | — | — | $0.24 |
| Blended (3:1) | $1.74 (best) | — | $1.90 |
| Long-context rate | Same rate | — | Same rate |
| Price source | Median of 49 providers | — | Official Z.AI API |
| Limits | |||
| Context window | 1,000,000 tokens (best) | 262,144 tokens | 200,000 tokens |
| Max output | 384,000 tokens (best) | 32,768 tokens | 131,072 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | Yes |
| PDFs | No | No | Yes |
| Audio | No | No | No |
| Video | No | No | Yes |
| Reasoning | Yes | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | No |
| Availability | |||
| Weights | Open | Open | Proprietary |
| API model ID | — | — | glm-5v-turbo |
| API providers | 52 (best) | 1 | 14 |
| Released | Apr 24, 2026 | Apr 28, 2026 | Apr 1, 2026 |
| Knowledge cutoff | May 2025 | — | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- DeepSeek V4 Pro$19.20
- Laguna XS.2—
- GLM-5V-Turbo$20.00
Which should you choose?
Which is better: DeepSeek V4 Pro, Laguna XS.2 or GLM-5V-Turbo?
GLM-5V-Turbo is the better all-round choice, scoring 61/100 against DeepSeek V4 Pro (51) and Laguna XS.2 (36). It leads on inputs & features. DeepSeek V4 Pro wins on 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, DeepSeek V4 Pro, Laguna XS.2 or GLM-5V-Turbo?
DeepSeek V4 Pro is cheaper at $1.32 input / $3.00 output per million tokens (median across 49 API providers). GLM-5V-Turbo costs $1.20 input / $4.00 output per million tokens (official Z.AI API price). At a typical mix of three input tokens to one output token, that is $1.74 per million tokens for DeepSeek V4 Pro versus $1.90 for GLM-5V-Turbo (1.1× as much). Laguna XS.2 has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. DeepSeek V4 Pro has not been scored yet, Laguna XS.2 has not been scored yet and GLM-5V-Turbo has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for DeepSeek V4 Pro, Laguna XS.2 and GLM-5V-Turbo 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?
DeepSeek V4 Pro has the largest context window at 1,000,000 tokens, against 262,144 for Laguna XS.2 and 200,000 for GLM-5V-Turbo. Maximum output per response: DeepSeek V4 Pro up to 384,000, Laguna XS.2 up to 32,768, GLM-5V-Turbo up to 131,072 tokens.
Which can read images, PDFs, audio or video?
DeepSeek V4 Pro accepts text; Laguna XS.2 accepts text; GLM-5V-Turbo accepts text, images, PDFs and video. GLM-5V-Turbo handles the widest range of inputs.
Are any of these open source?
DeepSeek V4 Pro and Laguna XS.2 publishes its weights and can be self-hosted; GLM-5V-Turbo is proprietary.
Which is newer?
Laguna XS.2 is the newest, released Apr 28, 2026. DeepSeek V4 Pro came out Apr 24, 2026; GLM-5V-Turbo came out Apr 1, 2026. Knowledge cutoff: DeepSeek V4 Pro May 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.
