DeepSeek V4 Pro vs Qwen3 235B-A22B vs GLM-5V-Turbo
GLM-5V-Turbo comes out ahead, 49 to 45 and 38 on our weighted score, though Qwen3 235B-A22B is 36% cheaper per token.
DeepSeekDeepSeek V4 Pro
45/100- ECI—
- Price$1.32 / $3.00
- Context1M
Alibaba (Qwen)Qwen3 235B-A22B
38/100- ECI139.4
- Price$0.70 / $2.80
- Context131K
- 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 Qwen3 235B-A22B (38). It leads on inputs & features. DeepSeek V4 Pro wins on context window. Qwen3 235B-A22B 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 priceQwen3 235B-A22BQwen3 235B-A22B $1.23 · 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 · Qwen3 235B-A22B 131,072 tokens
- Widest inputsGLM-5V-TurboDeepSeek V4 Pro: Text · Qwen3 235B-A22B: Text · GLM-5V-Turbo: Text, Images, PDFs, Video
- Self-hostingDeepSeek V4 Pro and Qwen3 235B-A22BPublishes downloadable weights
| Measure | Weight | DeepSeek V4 Pro | Qwen3 235B-A22B | GLM-5V-Turbo |
|---|---|---|---|---|
| Price | 50% | 38 | 46 | 37 |
| Inputs & features | 30% | 45 | 35 | 80 |
| Context window | 20% | 60 | 24 | 32 |
| Overall | 100% | 45/100 | 38/100 | 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 V4 ProDeepSeek | Qwen3 235B-A22BAlibaba (Qwen) | GLM-5V-TurboZ.ai (Zhipu) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | 139.4 | — |
| ECI rank | — | #103 of 148 | — |
| GPQA DiamondGraduate-level science questions | — | 70.7% | — |
| Price per million tokens | |||
| Input | $1.32 | $0.70 (best) | $1.20 |
| Output | $3.00 | $2.80 (best) | $4.00 |
| Cached input | — | — | $0.24 |
| Blended (3:1) | $1.74 | $1.23 (best) | $1.90 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 49 providers | Official Alibaba API | Official Z.AI API |
| Limits | |||
| Context window | 1,000,000 tokens (best) | 131,072 tokens | 200,000 tokens |
| Max output | 384,000 tokens (best) | 16,384 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 | — | qwen3-235b-a22b | glm-5v-turbo |
| API providers | 52 (best) | 7 | 14 |
| Released | Apr 24, 2026 | Apr 28, 2025 | Apr 1, 2026 |
| Knowledge cutoff | May 2025 | 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.
- DeepSeek V4 Pro$19.20
- Qwen3 235B-A22B$12.60
- GLM-5V-Turbo$20.00
Which should you choose?
Which is better: DeepSeek V4 Pro, Qwen3 235B-A22B or GLM-5V-Turbo?
GLM-5V-Turbo is the better all-round choice, scoring 49/100 against DeepSeek V4 Pro (45) and Qwen3 235B-A22B (38). It leads on inputs & features. DeepSeek V4 Pro wins on context window. Qwen3 235B-A22B 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, DeepSeek V4 Pro, Qwen3 235B-A22B or GLM-5V-Turbo?
Qwen3 235B-A22B is cheaper at $0.70 input / $2.80 output per million tokens (official Alibaba API price). 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 $1.23 per million tokens for Qwen3 235B-A22B versus $1.74 for DeepSeek V4 Pro (1.4× 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 V4 Pro has not been scored yet, Qwen3 235B-A22B has an ECI of 139.4 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, Qwen3 235B-A22B 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 131,072 for Qwen3 235B-A22B. Maximum output per response: DeepSeek V4 Pro up to 384,000, Qwen3 235B-A22B up to 16,384, GLM-5V-Turbo up to 131,072 tokens.
Which can read images, PDFs, audio or video?
DeepSeek V4 Pro accepts text; Qwen3 235B-A22B 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 Qwen3 235B-A22B 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; Qwen3 235B-A22B came out Apr 28, 2025. Knowledge cutoff: DeepSeek V4 Pro May 2025, Qwen3 235B-A22B 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.
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