GLM-5.3 vs Claude Opus 5.5 vs Muse Spark 1.2
Too close to call on our weighted score (Muse Spark 1.2 71, Claude Opus 5.5 69, GLM-5.3 63). The right pick depends on what you value most.
Z.ai (Zhipu)GLM-5.3
63/100- ECI156.2
- Price$1.40 / $4.40
- Context1M
AnthropicClaude Opus 5.5
69/100- ECI168.4
- Price$4.00 / $20.00
- Context1M
MetaMuse Spark 1.2
71/100- ECI155.2
- Price$1.25 / $4.25
- Context1.05M
Too close to call
It is close. Our weighted score puts them within 2 points (Muse Spark 1.2 71/100, Claude Opus 5.5 69/100, GLM-5.3 63/100), so choose by what matters most for your work: Claude Opus 5.5 for raw capability, Muse Spark 1.2 on price and Muse Spark 1.2 for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityClaude Opus 5.5Capabilities Index (ECI): Claude Opus 5.5 168.4 · GLM-5.3 156.2 · Muse Spark 1.2 155.2
- Lowest priceMuse Spark 1.2Muse Spark 1.2 $2.00 · GLM-5.3 $2.15 · Claude Opus 5.5 $8.00 per 1M tokens (3:1 blend)
- Longest contextMuse Spark 1.2Muse Spark 1.2 1,048,576 · GLM-5.3 1,000,000 · Claude Opus 5.5 1,000,000 tokens
- Widest inputsMuse Spark 1.2GLM-5.3: Text · Claude Opus 5.5: Text, Images, PDFs · Muse Spark 1.2: Text, Images, PDFs, Audio, Video
- Self-hostingGLM-5.3Publishes downloadable weights
| Measure | Weight | GLM-5.3 | Claude Opus 5.5 | Muse Spark 1.2 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 84 | 99 | 83 |
| Price | 25% | 33 | 7 | 34 |
| Inputs & features | 15% | 45 | 80 | 100 |
| Context window | 10% | 60 | 60 | 61 |
| Overall | 100% | 63/100 | 69/100 | 71/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | GLM-5.3Z.ai (Zhipu) | Claude Opus 5.5Anthropic | Muse Spark 1.2Meta |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 156.2 | 168.4 (best) | 155.2 |
| ECI rank | #33 of 165 | #2 of 165 (best) | #38 of 165 |
| GPQA DiamondGraduate-level science questions | 90.9% (best) | 90.6% | — |
| FrontierMath Tiers 1–3Research-level mathematics | 68.8% | 91.2% (best) | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 91.1% | 100% (best) | — |
| SimpleQA VerifiedShort factual questions | 41.0% | 72.2% (best) | 60.3% |
| Price per million tokens | |||
| Input | $1.40 | $4.00 | $1.25 (best) |
| Output | $4.40 | $20.00 | $4.25 (best) |
| Cached input | $0.26 | $0.20 | $0.15 (best) |
| Blended (3:1) | $2.15 | $8.00 | $2.00 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Z.AI API | Official Anthropic API | Official Meta API |
| Limits | |||
| Context window | 1,000,000 tokens | 1,000,000 tokens | 1,048,576 tokens (best) |
| Max output | 131,072 tokens (best) | 128,000 tokens | 131,072 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | Yes |
| PDFs | No | Yes | Yes |
| Audio | No | No | Yes |
| Video | No | No | Yes |
| Reasoning | Yeslow · high · max | Yeslow · medium · high · xhigh · max | Yesminimal · low · medium · high · xhigh |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Open | Proprietary | Proprietary |
| API model ID | glm-5.3 | claude-opus-5-5 | muse-spark-1.2 |
| API providers | 83 (best) | 36 | 18 |
| Released | Aug 14, 2026 | Sep 22, 2026 | Aug 5, 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$22.80
- Claude Opus 5.5$80.00
- Muse Spark 1.2$21.00
Which should you choose?
Which is better: GLM-5.3, Claude Opus 5.5 or Muse Spark 1.2?
It is close. Our weighted score puts them within 2 points (Muse Spark 1.2 71/100, Claude Opus 5.5 69/100, GLM-5.3 63/100), so choose by what matters most for your work: Claude Opus 5.5 for raw capability, Muse Spark 1.2 on price and Muse Spark 1.2 for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, GLM-5.3, Claude Opus 5.5 or Muse Spark 1.2?
Muse Spark 1.2 is cheaper at $1.25 input / $4.25 output per million tokens (official Meta API price). GLM-5.3 costs $1.40 input / $4.40 output per million tokens (official Z.AI API price); Claude Opus 5.5 costs $4.00 input / $20.00 output per million tokens (official Anthropic API price). At a typical mix of three input tokens to one output token, that is $2.00 per million tokens for Muse Spark 1.2 versus $2.15 for GLM-5.3 (1.1× as much) and $8.00 for Claude Opus 5.5 (4× as much).
Which scores higher on benchmarks?
Claude Opus 5.5 scores higher on the Capabilities Index (ECI): Claude Opus 5.5 168.4 (#2 of 165), GLM-5.3 156.2 (#33 of 165) and Muse Spark 1.2 155.2 (#38 of 165). Their confidence ranges do not overlap (165.4–173.0 vs 154.3–158.5), so the gap is a real one. On individual benchmarks: SimpleQA Verified — Claude Opus 5.5 72.2%, Muse Spark 1.2 60.3%, GLM-5.3 41.0%.
Which is better for coding?
There are no published SWE-bench Verified results for GLM-5.3, Claude Opus 5.5 and Muse Spark 1.2 yet, so there is no like-for-like coding score. On overall capability, Claude Opus 5.5 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?
Muse Spark 1.2 has the largest context window at 1,048,576 tokens, against 1,000,000 for GLM-5.3 and 1,000,000 for Claude Opus 5.5. Maximum output per response: GLM-5.3 up to 131,072, Claude Opus 5.5 up to 128,000, Muse Spark 1.2 up to 131,072 tokens.
Which can read images, PDFs, audio or video?
GLM-5.3 accepts text; Claude Opus 5.5 accepts text, images and PDFs; Muse Spark 1.2 accepts text, images, PDFs, audio and video. Muse Spark 1.2 handles the widest range of inputs.
Are any of these open source?
GLM-5.3 publishes its weights and can be self-hosted; Claude Opus 5.5 and Muse Spark 1.2 is proprietary.
Which is newer?
Claude Opus 5.5 is the newest, released Sep 22, 2026. GLM-5.3 came out Aug 14, 2026; Muse Spark 1.2 came out Aug 5, 2026. Knowledge cutoff: Claude Opus 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 Nov 2, 2026.
