GLM-5V-Turbo vs DeepSeek-R1
GLM-5V-Turbo comes out ahead, 49 to 39 on our weighted score, though DeepSeek-R1 is 38% cheaper per token.
- Our pick
Z.ai (Zhipu)GLM-5V-Turbo
49/100- ECI—
- Price$1.20 / $4.00
- Context200K
DeepSeekDeepSeek-R1
39/100- ECI139.0
- Price$0.70 / $2.60
- Context128K
Add a model
Make it a three-way comparison.
GLM-5V-Turbo is our pick
GLM-5V-Turbo is the better all-round choice, scoring 49/100 against DeepSeek-R1 (39). It leads on inputs & features and context window. DeepSeek-R1 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 priceDeepSeek-R1DeepSeek-R1 $1.18 · GLM-5V-Turbo $1.90 per 1M tokens (3:1 blend)
- Longest contextGLM-5V-TurboGLM-5V-Turbo 200,000 · DeepSeek-R1 128,000 tokens
- Widest inputsGLM-5V-TurboGLM-5V-Turbo: Text, Images, PDFs, Video · DeepSeek-R1: Text
- Self-hostingDeepSeek-R1Publishes downloadable weights
| Measure | Weight | GLM-5V-Turbo | DeepSeek-R1 |
|---|---|---|---|
| Price | 50% | 37 | 47 |
| Inputs & features | 30% | 80 | 35 |
| Context window | 20% | 32 | 24 |
| Overall | 100% | 49/100 | 39/100 |
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-5V-TurboZ.ai (Zhipu) | DeepSeek-R1DeepSeek |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | 139.0 |
| ECI rank | — | #104 of 148 |
| GPQA DiamondGraduate-level science questions | — | 71.7% |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 53.3% |
| Price per million tokens | ||
| Input | $1.20 | $0.70 (best) |
| Output | $4.00 | $2.60 (best) |
| Cached input | $0.24 | — |
| Blended (3:1) | $1.90 | $1.18 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official Z.AI API | Median of 11 providers |
| Limits | ||
| Context window | 200,000 tokens (best) | 128,000 tokens |
| Max output | 131,072 tokens (best) | 32,768 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | Yes | No |
| Audio | No | No |
| Video | Yes | No |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Proprietary | Open |
| API model ID | glm-5v-turbo | — |
| API providers | 14 (best) | 12 |
| Released | Apr 1, 2026 | Jan 20, 2025 |
| Knowledge cutoff | — | Jul 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-5V-Turbo$20.00
- DeepSeek-R1$12.20
Which should you choose?
Which is better: GLM-5V-Turbo or DeepSeek-R1?
GLM-5V-Turbo is the better all-round choice, scoring 49/100 against DeepSeek-R1 (39). It leads on inputs & features and context window. DeepSeek-R1 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, GLM-5V-Turbo or DeepSeek-R1?
DeepSeek-R1 is cheaper at $0.70 input / $2.60 output per million tokens (median across 11 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 $1.18 per million tokens for DeepSeek-R1 versus $1.90 for GLM-5V-Turbo (1.6× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. GLM-5V-Turbo has not been scored yet and DeepSeek-R1 has an ECI of 139.0.
Which is better for coding?
There are no published SWE-bench Verified results for GLM-5V-Turbo and DeepSeek-R1 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?
GLM-5V-Turbo has the largest context window at 200,000 tokens, against 128,000 for DeepSeek-R1. Maximum output per response: GLM-5V-Turbo up to 131,072, DeepSeek-R1 up to 32,768 tokens.
Which can read images, PDFs, audio or video?
GLM-5V-Turbo accepts text, images, PDFs and video; DeepSeek-R1 accepts text. GLM-5V-Turbo handles the widest range of inputs.
Are any of these open source?
DeepSeek-R1 publishes its weights and can be self-hosted; GLM-5V-Turbo is proprietary.
Which is newer?
GLM-5V-Turbo is the newest, released Apr 1, 2026. DeepSeek-R1 came out Jan 20, 2025. Knowledge cutoff: DeepSeek-R1 Jul 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.
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