Muse Spark Open vs Muse Spark 1.1 vs GLM-5.3
Too close to call on our weighted score (Muse Spark 1.1 69, Muse Spark Open 68, GLM-5.3 63). The right pick depends on what you value most.
MetaMuse Spark Open
68/100- ECI155.1
- Price$1.25 / $4.25
- Context1.05M
- Meta
Muse Spark 1.1
69/100- ECI154.2
- Price$1.25 / $4.25
- Context1.05M
Z.ai (Zhipu)GLM-5.3
63/100- ECI156.2
- Price$1.40 / $4.40
- Context1M
Too close to call
It is close. Our weighted score puts them within a point (Muse Spark 1.1 69/100, Muse Spark Open 68/100, GLM-5.3 63/100), so choose by what matters most for your work: GLM-5.3 for raw capability and Muse Spark Open on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityGLM-5.3Capabilities Index (ECI): GLM-5.3 156.2 · Muse Spark Open 155.1 · Muse Spark 1.1 154.2
- Lowest priceMuse Spark Open and Muse Spark 1.1Muse Spark Open $2.00 · Muse Spark 1.1 $2.00 · GLM-5.3 $2.15 per 1M tokens (3:1 blend)
- Longest contextMuse Spark Open and Muse Spark 1.1Muse Spark Open 1,048,576 · Muse Spark 1.1 1,048,576 · GLM-5.3 1,000,000 tokens
- Widest inputsMuse Spark Open and Muse Spark 1.1Muse Spark Open: Text, Images, Audio, Video · Muse Spark 1.1: Text, Images, PDFs, Video · GLM-5.3: Text
- Self-hostingMuse Spark Open and GLM-5.3Publishes downloadable weights (Muse Model License)
| Measure | Weight | Muse Spark Open | Muse Spark 1.1 | GLM-5.3 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 83 | 82 | 84 |
| Price | 25% | 34 | 34 | 33 |
| Inputs & features | 15% | 80 | 90 | 45 |
| Context window | 10% | 61 | 61 | 60 |
| Overall | 100% | 68/100 | 69/100 | 63/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Muse Spark OpenMeta | Muse Spark 1.1Meta | GLM-5.3Z.ai (Zhipu) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 155.1 | 154.2 | 156.2 (best) |
| ECI rank | #39 of 165 | #46 of 165 | #33 of 165 (best) |
| GPQA DiamondGraduate-level science questions | 88.6% | — | 90.9% (best) |
| FrontierMath Tiers 1–3Research-level mathematics | 69.8% (best) | — | 68.8% |
| OTIS Mock AIME 2024–2025Competition mathematics | 98.1% (best) | — | 91.1% |
| SimpleQA VerifiedShort factual questions | 56.6% | 57.8% (best) | 41.0% |
| Price per million tokens | |||
| Input | $1.25 (best) | $1.25 (best) | $1.40 |
| Output | $4.25 (best) | $4.25 (best) | $4.40 |
| Cached input | — | $0.15 (best) | $0.26 |
| Blended (3:1) | $2.00 (best) | $2.00 (best) | $2.15 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 16 providers | Official Meta API | Official Z.AI API |
| Limits | |||
| Context window | 1,048,576 tokens (best) | 1,048,576 tokens (best) | 1,000,000 tokens |
| Max output | 131,072 tokens | 131,072 tokens | 131,072 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | No | Yes | No |
| Audio | Yes | No | No |
| Video | Yes | Yes | No |
| Reasoning | Yes | Yesminimal · low · medium · high · xhigh | Yeslow · high · max |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | Yes |
| Availability | |||
| Weights | OpenMuse Model License | Proprietary | Open |
| API model ID | — | muse-spark-1.1 | glm-5.3 |
| API providers | 16 | 15 | 83 (best) |
| Released | Oct 15, 2026 | Jul 9, 2026 | Aug 14, 2026 |
| Knowledge cutoff | Jan 4, 2026 | — | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Muse Spark Open$21.00
- Muse Spark 1.1$21.00
- GLM-5.3$22.80
Which should you choose?
Which is better: Muse Spark Open, Muse Spark 1.1 or GLM-5.3?
It is close. Our weighted score puts them within a point (Muse Spark 1.1 69/100, Muse Spark Open 68/100, GLM-5.3 63/100), so choose by what matters most for your work: GLM-5.3 for raw capability and Muse Spark Open on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Muse Spark Open, Muse Spark 1.1 or GLM-5.3?
Muse Spark Open is cheaper at $1.25 input / $4.25 output per million tokens (median across 16 API providers). Muse Spark 1.1 costs $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). At a typical mix of three input tokens to one output token, that is $2.00 per million tokens for Muse Spark Open versus $2.00 for Muse Spark 1.1 (1× as much) and $2.15 for GLM-5.3 (1.1× as much).
Which scores higher on benchmarks?
GLM-5.3 scores higher on the Capabilities Index (ECI): GLM-5.3 156.2 (#33 of 165), Muse Spark Open 155.1 (#39 of 165) and Muse Spark 1.1 154.2 (#46 of 165). The confidence ranges of the top two overlap (154.3–158.5 vs 153.1–157.3), so treat the gap as small. On individual benchmarks: SimpleQA Verified — Muse Spark 1.1 57.8%, Muse Spark Open 56.6%, GLM-5.3 41.0%.
Which is better for coding?
There are no published SWE-bench Verified results for Muse Spark Open, Muse Spark 1.1 and GLM-5.3 yet, so there is no like-for-like coding score. On overall capability, GLM-5.3 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 Open and Muse Spark 1.1 have the largest context windows (1,048,576 and 1,048,576 tokens), against 1,000,000 for GLM-5.3. Maximum output per response: Muse Spark Open up to 131,072, Muse Spark 1.1 up to 131,072, GLM-5.3 up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Muse Spark Open accepts text, images, audio and video; Muse Spark 1.1 accepts text, images, PDFs and video; GLM-5.3 accepts text. Muse Spark Open handles the widest range of inputs.
Are any of these open source?
Muse Spark Open and GLM-5.3 publishes its weights (Muse Model License) and can be self-hosted; Muse Spark 1.1 is proprietary.
Which is newer?
Muse Spark Open is the newest, released Oct 15, 2026. GLM-5.3 came out Aug 14, 2026; Muse Spark 1.1 came out Jul 9, 2026. Knowledge cutoff: Muse Spark Open Jan 4, 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.
