DeepSeek-R1 vs DeepSeek V4 Pro vs GLM-5V-Turbo
GLM-5V-Turbo comes out ahead, 49 to 45 and 39 on our weighted score, though DeepSeek-R1 is 38% cheaper per token.
DeepSeekDeepSeek-R1
39/100- ECI139.0
- Price$0.70 / $2.60
- Context128K
- DeepSeek
DeepSeek V4 Pro
45/100- ECI—
- Price$1.32 / $3.00
- Context1M
- Our pick
Z.ai (Zhipu)GLM-5V-Turbo
49/100- ECI—
- Price$1.20 / $4.00
- Context200K
GLM-5V-Turbo is our pick
GLM-5V-Turbo is the better all-round choice, scoring 49/100 against DeepSeek V4 Pro (45) and DeepSeek-R1 (39). It leads on inputs & features. DeepSeek-R1 wins on price. DeepSeek V4 Pro 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 priceDeepSeek-R1DeepSeek-R1 $1.18 · DeepSeek V4 Pro $1.74 · GLM-5V-Turbo $1.90 per 1M tokens (3:1 blend)
- Longest contextDeepSeek V4 ProDeepSeek V4 Pro 1,000,000 · GLM-5V-Turbo 200,000 · DeepSeek-R1 128,000 tokens
- Widest inputsGLM-5V-TurboDeepSeek-R1: Text · DeepSeek V4 Pro: Text · GLM-5V-Turbo: Text, Images, PDFs, Video
- Self-hostingDeepSeek-R1 and DeepSeek V4 ProPublishes downloadable weights
| Measure | Weight | DeepSeek-R1 | DeepSeek V4 Pro | GLM-5V-Turbo |
|---|---|---|---|---|
| Price | 50% | 47 | 38 | 37 |
| Inputs & features | 30% | 35 | 45 | 80 |
| Context window | 20% | 24 | 60 | 32 |
| Overall | 100% | 39/100 | 45/100 | 49/100 |
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 | DeepSeek-R1DeepSeek | DeepSeek V4 ProDeepSeek | GLM-5V-TurboZ.ai (Zhipu) |
|---|---|---|---|
| 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 | $0.70 (best) | $1.32 | $1.20 |
| Output | $2.60 (best) | $3.00 | $4.00 |
| Cached input | — | — | $0.24 |
| Blended (3:1) | $1.18 (best) | $1.74 | $1.90 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 11 providers | Median of 49 providers | Official Z.AI API |
| Limits | |||
| Context window | 128,000 tokens | 1,000,000 tokens (best) | 200,000 tokens |
| Max output | 32,768 tokens | 384,000 tokens (best) | 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 | No | Yes | No |
| Availability | |||
| Weights | Open | Open | Proprietary |
| API model ID | — | — | glm-5v-turbo |
| API providers | 12 | 52 (best) | 14 |
| Released | Jan 20, 2025 | Apr 24, 2026 | Apr 1, 2026 |
| Knowledge cutoff | Jul 2024 | 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-R1$12.20
- DeepSeek V4 Pro$19.20
- GLM-5V-Turbo$20.00
Which should you choose?
Which is better: DeepSeek-R1, DeepSeek V4 Pro or GLM-5V-Turbo?
GLM-5V-Turbo is the better all-round choice, scoring 49/100 against DeepSeek V4 Pro (45) and DeepSeek-R1 (39). It leads on inputs & features. DeepSeek-R1 wins on price. DeepSeek V4 Pro 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, DeepSeek-R1, DeepSeek V4 Pro or GLM-5V-Turbo?
DeepSeek-R1 is cheaper at $0.70 input / $2.60 output per million tokens (median across 11 API providers). DeepSeek V4 Pro costs $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 $1.18 per million tokens for DeepSeek-R1 versus $1.74 for DeepSeek V4 Pro (1.5× as much) and $1.90 for GLM-5V-Turbo (1.6× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. DeepSeek-R1 has an ECI of 139.0, DeepSeek V4 Pro 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-R1, DeepSeek V4 Pro 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 200,000 for GLM-5V-Turbo and 128,000 for DeepSeek-R1. Maximum output per response: DeepSeek-R1 up to 32,768, DeepSeek V4 Pro up to 384,000, GLM-5V-Turbo up to 131,072 tokens.
Which can read images, PDFs, audio or video?
DeepSeek-R1 accepts text; DeepSeek V4 Pro 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-R1 and DeepSeek V4 Pro publishes its weights and can be self-hosted; GLM-5V-Turbo is proprietary.
Which is newer?
DeepSeek V4 Pro is the newest, released Apr 24, 2026. GLM-5V-Turbo came out Apr 1, 2026; DeepSeek-R1 came out Jan 20, 2025. Knowledge cutoff: DeepSeek-R1 Jul 2024, 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.
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