GLM-5.3 vs Grok 4.7 vs Qwen3.8 Max 0902
Too close to call on our weighted score (Qwen3.8 Max 0902 63, Grok 4.7 61, GLM-5.3 58). The right pick depends on what you value most.
Z.ai (Zhipu)GLM-5.3
58/100- ECI155.8
- Price$1.40 / $4.40
- Context1M
xAIGrok 4.7
61/100- ECI—
- Price$2.00 / $6.00
- Context500K
Alibaba (Qwen)Qwen3.8 Max 0902
63/100- ECI155.2
- Price$2.00 / $6.00
- Context1M
Too close to call
It is close. Our weighted score puts them within 2 points (Qwen3.8 Max 0902 63/100, Grok 4.7 61/100, GLM-5.3 58/100), so choose by what matters most for your work: Qwen3.8 Max 0902 for raw capability and GLM-5.3 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%. Capability uses the average of shared benchmarks (GPQA Diamond, FrontierMath Tiers 1–3, OTIS Mock AIME 2024–2025 and SimpleQA Verified), because Grok 4.7 has no Capabilities Index score yet.
- CapabilityQwen3.8 Max 0902Shared benchmarks: Qwen3.8 Max 0902 76.3% · Grok 4.7 74.9% · GLM-5.3 72.9%
- Lowest priceGLM-5.3GLM-5.3 $2.15 · Grok 4.7 $3.00 · Qwen3.8 Max 0902 $3.00 per 1M tokens (3:1 blend)
- Longest contextGLM-5.3 and Qwen3.8 Max 0902GLM-5.3 1,000,000 · Qwen3.8 Max 0902 1,000,000 · Grok 4.7 500,000 tokens
- Widest inputsQwen3.8 Max 0902GLM-5.3: Text · Grok 4.7: Text, Images, PDFs · Qwen3.8 Max 0902: Text, Images, PDFs, Video
- Self-hostingGLM-5.3Publishes downloadable weights
| Measure | Weight | GLM-5.3 | Grok 4.7 | Qwen3.8 Max 0902 |
|---|---|---|---|---|
| CapabilityShared benchmarks | 50% | 73 | 75 | 76 |
| Price | 25% | 34 | 27 | 27 |
| Inputs & features | 15% | 45 | 80 | 80 |
| Context window | 10% | 60 | 48 | 60 |
| Overall | 100% | 58/100 | 61/100 | 63/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | GLM-5.3Z.ai (Zhipu) | Grok 4.7xAI | Qwen3.8 Max 0902Alibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 155.8 (best) | — | 155.2 |
| ECI rank | #24 of 148 (best) | — | #28 of 148 |
| GPQA DiamondGraduate-level science questions | 90.9% | 92.7% (best) | 92.3% |
| FrontierMath Tiers 1–3Research-level mathematics | 68.8% (best) | 53.0% | 65.6% |
| OTIS Mock AIME 2024–2025Competition mathematics | 91.1% | 98.1% | 100% (best) |
| SimpleQA VerifiedShort factual questions | 41.0% | 56.0% (best) | 47.3% |
| Price per million tokens | |||
| Input | $1.40 (best) | $2.00 | $2.00 |
| Output | $4.40 (best) | $6.00 | $6.00 |
| Cached input | $0.26 (best) | $0.50 | — |
| Blended (3:1) | $2.15 (best) | $3.00 | $3.00 |
| Long-context rate | Same rate | Over 200K: $4.00 / $12.00 | Same rate |
| Price source | Official Z.AI API | Official xAI API | Median of 6 providers |
| Limits | |||
| Context window | 1,000,000 tokens (best) | 500,000 tokens | 1,000,000 tokens (best) |
| Max output | 131,072 tokens | 500,000 tokens (best) | 131,072 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | Yes |
| PDFs | No | Yes | Yes |
| Audio | No | No | No |
| Video | No | No | Yes |
| Reasoning | Yeslow · high · max | Yeslow · medium · high · xhigh | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | No |
| Availability | |||
| Weights | Open | Proprietary | Proprietary |
| API model ID | glm-5.3 | grok-4.7 | — |
| API providers | 62 (best) | 17 | 6 |
| Released | Aug 14, 2026 | Sep 21, 2026 | Sep 2, 2026 |
| Knowledge cutoff | — | May 2026 | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- GLM-5.3$22.80
- Grok 4.7$32.00
- Qwen3.8 Max 0902$32.00
Which should you choose?
Which is better: GLM-5.3, Grok 4.7 or Qwen3.8 Max 0902?
It is close. Our weighted score puts them within 2 points (Qwen3.8 Max 0902 63/100, Grok 4.7 61/100, GLM-5.3 58/100), so choose by what matters most for your work: Qwen3.8 Max 0902 for raw capability and GLM-5.3 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%. Capability uses the average of shared benchmarks (GPQA Diamond, FrontierMath Tiers 1–3, OTIS Mock AIME 2024–2025 and SimpleQA Verified), because Grok 4.7 has no Capabilities Index score yet.
Which is cheaper, GLM-5.3, Grok 4.7 or Qwen3.8 Max 0902?
GLM-5.3 is cheaper at $1.40 input / $4.40 output per million tokens (official Z.AI API price). Grok 4.7 costs $2.00 input / $6.00 output per million tokens (official xAI API price); Qwen3.8 Max 0902 costs $2.00 input / $6.00 output per million tokens (median across 6 API providers). At a typical mix of three input tokens to one output token, that is $2.15 per million tokens for GLM-5.3 versus $3.00 for Grok 4.7 (1.4× as much) and $3.00 for Qwen3.8 Max 0902 (1.4× as much).
Which scores higher on benchmarks?
Not every model here has a Capabilities Index score, so we compare the average of shared benchmarks (GPQA Diamond, FrontierMath Tiers 1–3, OTIS Mock AIME 2024–2025 and SimpleQA Verified): Qwen3.8 Max 0902 76.3%, Grok 4.7 74.9% and GLM-5.3 72.9%. On individual benchmarks: GPQA Diamond — Grok 4.7 92.7%, Qwen3.8 Max 0902 92.3%, GLM-5.3 90.9%; FrontierMath Tiers 1–3 — GLM-5.3 68.8%, Qwen3.8 Max 0902 65.6%, Grok 4.7 53.0%; OTIS Mock AIME 2024–2025 — Qwen3.8 Max 0902 100%, Grok 4.7 98.1%, GLM-5.3 91.1%; SimpleQA Verified — Grok 4.7 56.0%, Qwen3.8 Max 0902 47.3%, GLM-5.3 41.0%.
Which is better for coding?
There are no published SWE-bench Verified results for GLM-5.3, Grok 4.7 and Qwen3.8 Max 0902 yet, so there is no like-for-like coding score. On overall capability, Qwen3.8 Max 0902 leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.
Which has the bigger context window?
GLM-5.3 and Qwen3.8 Max 0902 have the largest context windows (1,000,000 and 1,000,000 tokens), against 500,000 for Grok 4.7. Maximum output per response: GLM-5.3 up to 131,072, Grok 4.7 up to 500,000, Qwen3.8 Max 0902 up to 131,072 tokens.
Which can read images, PDFs, audio or video?
GLM-5.3 accepts text; Grok 4.7 accepts text, images and PDFs; Qwen3.8 Max 0902 accepts text, images, PDFs and video. Qwen3.8 Max 0902 handles the widest range of inputs.
Are any of these open source?
GLM-5.3 publishes its weights and can be self-hosted; Grok 4.7 and Qwen3.8 Max 0902 is proprietary.
Which is newer?
Grok 4.7 is the newest, released Sep 21, 2026. Qwen3.8 Max 0902 came out Sep 2, 2026; GLM-5.3 came out Aug 14, 2026. Knowledge cutoff: Grok 4.7 May 2026.
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.
