GLM-5.3-Flash vs Claude Sonnet 5.5
GLM-5.3-Flash comes out ahead, 80 to 72 on our weighted score, and it is the cheaper option too.
- Our pick
Z.ai (Zhipu)
GLM-5.3-Flash
80/100- ECI151.9
- Price$0.15 / $0.50
- Context1M
Anthropic
Claude Sonnet 5.5
72/100- ECI165.2
- Price$2.00 / $10.00
- Context1M
Add a model
Make it a three-way comparison.
GLM-5.3-Flash is our pick
GLM-5.3-Flash is the better all-round choice, scoring 80/100 against Claude Sonnet 5.5 (72). It leads on price and inputs & features. Claude Sonnet 5.5 wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityClaude Sonnet 5.5Capabilities Index (ECI): Claude Sonnet 5.5 165.2 · GLM-5.3-Flash 151.9
- Lowest priceGLM-5.3-FlashGLM-5.3-Flash $0.237 · Claude Sonnet 5.5 $4.00 per 1M tokens (3:1 blend)
- Longest contextAbout the sameGLM-5.3-Flash 1,000,000 · Claude Sonnet 5.5 1,000,000 tokens
- Widest inputsGLM-5.3-FlashGLM-5.3-Flash: Text, Images, PDFs, Video · Claude Sonnet 5.5: Text, Images, PDFs
- Self-hostingGLM-5.3-FlashPublishes downloadable weights
| Measure | Weight | GLM-5.3-Flash | Claude Sonnet 5.5 |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 81 | 97 |
| Price | 25% | 79 | 21 |
| Inputs & features | 15% | 90 | 80 |
| Context window | 10% | 60 | 60 |
| Overall | 100% | 80/100 | 72/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 151.9 | 165.2 (best) |
| ECI rank | #42 of 148 | #3 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 90.2% | 95.6% (best) |
| FrontierMath Tiers 1–3Research-level mathematics | 55.8% | 88.8% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | 93.9% | 100% (best) |
| SimpleQA VerifiedShort factual questions | — | 46.5% |
| Price per million tokens | ||
| Input | $0.15 (best) | $2.00 |
| Output | $0.50 (best) | $10.00 |
| Cached input | $0.03 (best) | $0.20 |
| Blended (3:1) | $0.237 (best) | $4.00 |
| Long-context rate | Same rate | Same rate |
| Price source | Official Z.AI API | Official Anthropic API |
| Limits | ||
| Context window | 1,000,000 tokens | 1,000,000 tokens |
| Max output | 131,072 tokens (best) | 128,000 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | Yes |
| PDFs | Yes | Yes |
| Audio | No | No |
| Video | Yes | No |
| Reasoning | Yeslow · high · max | Yeslow · medium · high · xhigh · max |
| Tool calling | Yes | Yes |
| Structured output | Yes | Yes |
| Availability | ||
| Weights | Open | Proprietary |
| API model ID | glm-5.3-flash | claude-sonnet-5-5 |
| API providers | 65 (best) | 23 |
| Released | Aug 26, 2026 | Sep 28, 2026 |
| Knowledge cutoff | — | Jun 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-Flash$2.50
Claude Sonnet 5.5$40.00
Which should you choose?
Which is better: GLM-5.3-Flash or Claude Sonnet 5.5?
GLM-5.3-Flash is the better all-round choice, scoring 80/100 against Claude Sonnet 5.5 (72). It leads on price and inputs & features. Claude Sonnet 5.5 wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, GLM-5.3-Flash or Claude Sonnet 5.5?
GLM-5.3-Flash is cheaper at $0.15 input / $0.50 output per million tokens (official Z.AI API price). Claude Sonnet 5.5 costs $2.00 input / $10.00 output per million tokens (official Anthropic API price). At a typical mix of three input tokens to one output token, that is $0.237 per million tokens for GLM-5.3-Flash versus $4.00 for Claude Sonnet 5.5 (17× as much).
Which scores higher on benchmarks?
Claude Sonnet 5.5 scores higher on the Capabilities Index (ECI): Claude Sonnet 5.5 165.2 (#3 of 148) and GLM-5.3-Flash 151.9 (#42 of 148). Their confidence ranges do not overlap (161.8–169.4 vs 149.4–154.3), so the gap is a real one. On individual benchmarks: GPQA Diamond — Claude Sonnet 5.5 95.6%, GLM-5.3-Flash 90.2%; FrontierMath Tiers 1–3 — Claude Sonnet 5.5 88.8%, GLM-5.3-Flash 55.8%; OTIS Mock AIME 2024–2025 — Claude Sonnet 5.5 100%, GLM-5.3-Flash 93.9%.
Which is better for coding?
There are no published SWE-bench Verified results for GLM-5.3-Flash and Claude Sonnet 5.5 yet, so there is no like-for-like coding score. On overall capability, Claude Sonnet 5.5 leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.
Which has the bigger context window?
GLM-5.3-Flash and Claude Sonnet 5.5 share the same 1,000,000-token context window. Maximum output per response: GLM-5.3-Flash up to 131,072, Claude Sonnet 5.5 up to 128,000 tokens.
Which can read images, PDFs, audio or video?
GLM-5.3-Flash accepts text, images, PDFs and video; Claude Sonnet 5.5 accepts text, images and PDFs. GLM-5.3-Flash handles the widest range of inputs.
Are any of these open source?
GLM-5.3-Flash publishes its weights and can be self-hosted; Claude Sonnet 5.5 is proprietary.
Which is newer?
Claude Sonnet 5.5 is the newest, released Sep 28, 2026. GLM-5.3-Flash came out Aug 26, 2026. Knowledge cutoff: Claude Sonnet 5.5 Jun 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.