ZMIME
Comparison · 3 models · Updated Nov 2, 2026

Muse Spark Open vs GPT-5.6 Terra vs GLM-5.3

Too close to call on our weighted score (Muse Spark Open 68, GPT-5.6 Terra 67, GLM-5.3 63). The right pick depends on what you value most.

  1. Meta

    Muse Spark Open

    Released Oct 15, 2026New

    68/100
    • ECI155.1
    • Price$1.25 / $4.25
    • Context1.05M
  2. OpenAI

    GPT-5.6 Terra

    Released Jul 9, 2026

    67/100
    • ECI160.1
    • Price$2.00 / $12.00
    • Context1.05M
  3. Z.ai (Zhipu)

    GLM-5.3

    Released Aug 14, 2026

    63/100
    • ECI156.2
    • Price$1.40 / $4.40
    • Context1M
01 — Verdict

Too close to call

It is close. Our weighted score puts them within a point (Muse Spark Open 68/100, GPT-5.6 Terra 67/100, GLM-5.3 63/100), so choose by what matters most for your work: GPT-5.6 Terra for raw capability and Muse Spark Open on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGPT-5.6 TerraCapabilities Index (ECI): GPT-5.6 Terra 160.1 · GLM-5.3 156.2 · Muse Spark Open 155.1
  • Lowest priceMuse Spark OpenMuse Spark Open $2.00 · GLM-5.3 $2.15 · GPT-5.6 Terra $4.50 per 1M tokens (3:1 blend)
  • Longest contextGPT-5.6 Terra and Muse Spark OpenGPT-5.6 Terra 1,050,000 · Muse Spark Open 1,048,576 · GLM-5.3 1,000,000 tokens
  • Widest inputsMuse Spark OpenMuse Spark Open: Text, Images, Audio, Video · GPT-5.6 Terra: Text, Images, PDFs · GLM-5.3: Text
  • Self-hostingMuse Spark Open and GLM-5.3Publishes downloadable weights (Muse Model License)
How the score is built
MeasureWeightMuse Spark OpenGPT-5.6 TerraGLM-5.3
CapabilityCapabilities Index (ECI)50%838984
Price25%341833
Inputs & features15%808045
Context window10%616160
Overall100%68/10067/10063/100
02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

Muse Spark Open vs GPT-5.6 Terra vs GLM-5.3 specifications side by side
SpecificationMuse Spark OpenMetaGPT-5.6 TerraOpenAIGLM-5.3Z.ai (Zhipu)
Capability
Capabilities Index (ECI)155.1160.1 (best)156.2
ECI rank#39 of 165#15 of 165 (best)#33 of 165
GPQA DiamondGraduate-level science questions88.6%93.3% (best)90.9%
FrontierMath Tiers 1–3Research-level mathematics69.8%86.0% (best)68.8%
OTIS Mock AIME 2024–2025Competition mathematics98.1%99.7% (best)91.1%
SimpleQA VerifiedShort factual questions56.6% (best)43.2%41.0%
Price per million tokens
Input$1.25 (best)$2.00$1.40
Output$4.25 (best)$12.00$4.40
Cached input—$0.20 (best)$0.26
Blended (3:1)$2.00 (best)$4.50$2.15
Long-context rateSame rateOver 272K: $4.00 / $18.00Same rate
Price sourceMedian of 16 providersOfficial OpenAI APIOfficial Z.AI API
Limits
Context window1,048,576 tokens1,050,000 tokens (best)1,000,000 tokens
Max output131,072 tokens (best)128,000 tokens131,072 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesYesNo
PDFsNoYesNo
AudioYesNoNo
VideoYesNoNo
ReasoningYesYeslow · medium · high · xhigh · maxYeslow · high · max
Tool callingYesYesYes
Structured outputNoYesYes
Availability
WeightsOpenMuse Model LicenseProprietaryOpen
API model ID—gpt-5.6-terraglm-5.3
API providers164583 (best)
ReleasedOct 15, 2026Jul 9, 2026Aug 14, 2026
Knowledge cutoffJan 4, 2026Feb 16, 2026—
03 — Cost

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
  • GPT-5.6 Terra$44.00
  • GLM-5.3$22.80
04 — Questions

Which should you choose?

Which is better: Muse Spark Open, GPT-5.6 Terra or GLM-5.3?

It is close. Our weighted score puts them within a point (Muse Spark Open 68/100, GPT-5.6 Terra 67/100, GLM-5.3 63/100), so choose by what matters most for your work: GPT-5.6 Terra 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, GPT-5.6 Terra or GLM-5.3?

Muse Spark Open is cheaper at $1.25 input / $4.25 output per million tokens (median across 16 API providers). GLM-5.3 costs $1.40 input / $4.40 output per million tokens (official Z.AI API price); GPT-5.6 Terra costs $2.00 input / $12.00 output per million tokens (official OpenAI 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 $2.15 for GLM-5.3 (1.1× as much) and $4.50 for GPT-5.6 Terra (2.3× as much).

Which scores higher on benchmarks?

GPT-5.6 Terra scores higher on the Capabilities Index (ECI): GPT-5.6 Terra 160.1 (#15 of 165), GLM-5.3 156.2 (#33 of 165) and Muse Spark Open 155.1 (#39 of 165). The confidence ranges of the top two overlap (157.8–163.4 vs 154.3–158.5), so treat the gap as small. On individual benchmarks: GPQA Diamond — GPT-5.6 Terra 93.3%, GLM-5.3 90.9%, Muse Spark Open 88.6%; FrontierMath Tiers 1–3 — GPT-5.6 Terra 86.0%, Muse Spark Open 69.8%, GLM-5.3 68.8%; OTIS Mock AIME 2024–2025 — GPT-5.6 Terra 99.7%, Muse Spark Open 98.1%, GLM-5.3 91.1%; SimpleQA Verified — Muse Spark Open 56.6%, GPT-5.6 Terra 43.2%, GLM-5.3 41.0%.

Which is better for coding?

There are no published SWE-bench Verified results for Muse Spark Open, GPT-5.6 Terra and GLM-5.3 yet, so there is no like-for-like coding score. On overall capability, GPT-5.6 Terra 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-5.6 Terra and Muse Spark Open have the largest context windows (1,050,000 and 1,048,576 tokens), against 1,000,000 for GLM-5.3. Maximum output per response: Muse Spark Open up to 131,072, GPT-5.6 Terra up to 128,000, 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; GPT-5.6 Terra accepts text, images and PDFs; 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; GPT-5.6 Terra is proprietary.

Which is newer?

Muse Spark Open is the newest, released Oct 15, 2026. GLM-5.3 came out Aug 14, 2026; GPT-5.6 Terra came out Jul 9, 2026. Knowledge cutoff: Muse Spark Open Jan 4, 2026, GPT-5.6 Terra Feb 16, 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.