GLM-5.3-Flash vs Muse Spark 1.3 vs GPT-6 Luna
GPT-6 Luna comes out ahead, 83 to 77 and 73 on our weighted score, and it is the cheaper option too.
Z.ai (Zhipu)GLM-5.3-Flash
77/100- ECI151.9
- Price$0.15 / $0.50
- Context1M
MetaMuse Spark 1.3
73/100- ECI156.9
- Price$1.25 / $4.25
- Context1.05M
- Our pick
OpenAIGPT-6 Luna
83/100- ECI—
- Price$0.10 / $0.50
- Context1.05M
GPT-6 Luna is our pick
GPT-6 Luna is the better all-round choice, scoring 83/100 against GLM-5.3-Flash (77) and Muse Spark 1.3 (73). It leads on capability and price. Muse Spark 1.3 wins on inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%. Capability uses the average of shared benchmarks (FrontierMath Tiers 1–3 and OTIS Mock AIME 2024–2025), because GPT-6 Luna has no Capabilities Index score yet.
- CapabilityGPT-6 LunaShared benchmarks: GPT-6 Luna 88.9% · Muse Spark 1.3 86.8% · GLM-5.3-Flash 74.8%
- Lowest priceGPT-6 LunaGPT-6 Luna $0.20 · GLM-5.3-Flash $0.237 · Muse Spark 1.3 $2.00 per 1M tokens (3:1 blend)
- Longest contextGPT-6 Luna and Muse Spark 1.3GPT-6 Luna 1,050,000 · Muse Spark 1.3 1,048,576 · GLM-5.3-Flash 1,000,000 tokens
- Widest inputsMuse Spark 1.3GLM-5.3-Flash: Text, Images, PDFs, Video · Muse Spark 1.3: Text, Images, PDFs, Audio, Video · GPT-6 Luna: Text, Images, PDFs
- Self-hostingGLM-5.3-FlashPublishes downloadable weights
| Measure | Weight | GLM-5.3-Flash | Muse Spark 1.3 | GPT-6 Luna |
|---|---|---|---|---|
| CapabilityShared benchmarks | 50% | 75 | 87 | 89 |
| Price | 25% | 79 | 36 | 83 |
| Inputs & features | 15% | 90 | 100 | 80 |
| Context window | 10% | 60 | 61 | 61 |
| Overall | 100% | 77/100 | 73/100 | 83/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | GLM-5.3-FlashZ.ai (Zhipu) | Muse Spark 1.3Meta | GPT-6 LunaOpenAI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 151.9 | 156.9 (best) | — |
| ECI rank | #42 of 148 | #17 of 148 (best) | — |
| GPQA DiamondGraduate-level science questions | 90.2% | — | 90.5% (best) |
| FrontierMath Tiers 1–3Research-level mathematics | 55.8% | 74.4% | 79.0% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | 93.9% | 99.2% (best) | 98.9% |
| SimpleQA VerifiedShort factual questions | — | — | 41.4% |
| Price per million tokens | |||
| Input | $0.15 | $1.25 | $0.10 (best) |
| Output | $0.50 (best) | $4.25 | $0.50 (best) |
| Cached input | $0.03 | $0.15 | $0.01 (best) |
| Blended (3:1) | $0.237 | $2.00 | $0.20 (best) |
| Long-context rate | Same rate | Same rate | Over 272K: $0.20 / $0.75 |
| Price source | Official Z.AI API | Official Meta API | Official OpenAI API |
| Limits | |||
| Context window | 1,000,000 tokens | 1,048,576 tokens | 1,050,000 tokens (best) |
| Max output | 131,072 tokens (best) | 131,072 tokens (best) | 128,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | Yes | Yes | Yes |
| Audio | No | Yes | No |
| Video | Yes | Yes | No |
| Reasoning | Yeslow · high · max | Yesminimal · low · medium · high · xhigh · max | Yeslow · medium · high · xhigh · max |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Open | Proprietary | Proprietary |
| API model ID | glm-5.3-flash | muse-spark-1.3 | gpt-6-luna |
| API providers | 65 (best) | 12 | 24 |
| Released | Aug 26, 2026 | Sep 2, 2026 | Sep 22, 2026 |
| Knowledge cutoff | — | — | May 18, 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
- Muse Spark 1.3$21.00
- GPT-6 Luna$2.00
Which should you choose?
Which is better: GLM-5.3-Flash, Muse Spark 1.3 or GPT-6 Luna?
GPT-6 Luna is the better all-round choice, scoring 83/100 against GLM-5.3-Flash (77) and Muse Spark 1.3 (73). It leads on capability and price. Muse Spark 1.3 wins on inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%. Capability uses the average of shared benchmarks (FrontierMath Tiers 1–3 and OTIS Mock AIME 2024–2025), because GPT-6 Luna has no Capabilities Index score yet.
Which is cheaper, GLM-5.3-Flash, Muse Spark 1.3 or GPT-6 Luna?
GPT-6 Luna is cheaper at $0.10 input / $0.50 output per million tokens (official OpenAI API price). GLM-5.3-Flash costs $0.15 input / $0.50 output per million tokens (official Z.AI API price); Muse Spark 1.3 costs $1.25 input / $4.25 output per million tokens (official Meta API price). At a typical mix of three input tokens to one output token, that is $0.20 per million tokens for GPT-6 Luna versus $0.237 for GLM-5.3-Flash (1.2× as much) and $2.00 for Muse Spark 1.3 (10× as much).
Which scores higher on benchmarks?
Not every model here has a Capabilities Index score, so we compare the average of shared benchmarks (FrontierMath Tiers 1–3 and OTIS Mock AIME 2024–2025): GPT-6 Luna 88.9%, Muse Spark 1.3 86.8% and GLM-5.3-Flash 74.8%. On individual benchmarks: FrontierMath Tiers 1–3 — GPT-6 Luna 79.0%, Muse Spark 1.3 74.4%, GLM-5.3-Flash 55.8%; OTIS Mock AIME 2024–2025 — Muse Spark 1.3 99.2%, GPT-6 Luna 98.9%, GLM-5.3-Flash 93.9%.
Which is better for coding?
There are no published SWE-bench Verified results for GLM-5.3-Flash, Muse Spark 1.3 and GPT-6 Luna yet, so there is no like-for-like coding score. On overall capability, GPT-6 Luna 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?
GPT-6 Luna and Muse Spark 1.3 have the largest context windows (1,050,000 and 1,048,576 tokens), against 1,000,000 for GLM-5.3-Flash. Maximum output per response: GLM-5.3-Flash up to 131,072, Muse Spark 1.3 up to 131,072, GPT-6 Luna up to 128,000 tokens.
Which can read images, PDFs, audio or video?
GLM-5.3-Flash accepts text, images, PDFs and video; Muse Spark 1.3 accepts text, images, PDFs, audio and video; GPT-6 Luna accepts text, images and PDFs. Muse Spark 1.3 handles the widest range of inputs.
Are any of these open source?
GLM-5.3-Flash publishes its weights and can be self-hosted; Muse Spark 1.3 and GPT-6 Luna is proprietary.
Which is newer?
GPT-6 Luna is the newest, released Sep 22, 2026. Muse Spark 1.3 came out Sep 2, 2026; GLM-5.3-Flash came out Aug 26, 2026. Knowledge cutoff: GPT-6 Luna May 18, 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.
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