GPT-6.1 Terra vs Muse Spark 1.3
GPT-6.1 Terra leads Muse Spark 1.3 on coding, 77.4 to 57.4 on the Vibe Coding Index, at about the same output price ($5.00 vs $4.25 per million). Updated October 29, 2026; 29 benchmarks have a result for both.
GPT-6.1 Terra or Muse Spark 1.3: which to pick
Pick GPT-6.1 Terra for coding: it scores 77.4 on the Vibe Coding Index against 57.4 for Muse Spark 1.3.
Pick Muse Spark 1.3 for output tokens 1.2x cheaper ($4.25 vs $5.00 per million) and work measured by SciCode or LMArena WebDev: React, where it leads.
- Shared results
- 29
- GPT-6.1 Terra only
- 7
- Muse Spark 1.3 only
- 67
- Like-for-like categories
- 7 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
GPT-6.1 Terra
GPT-6.1 Terra scores 77.4 against 57.4.
4 benchmarks behind each score
Intelligence
AA Intelligence Index
GPT-6.1 Terra
GPT-6.1 Terra leads, 51.0 against 36.4.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Muse Spark 1.3 has a AA Agentic Index result, 55.5.
Directional only
Web design
Design Arena: websites
Muse Spark 1.3
Muse Spark 1.3 leads, 1355 against 1283.
Same board, both measured
General
Vals Index
No call
Only GPT-6.1 Terra has a Vals Index result, 60.5%.
Directional only
Long documents
Listed context window
GPT-6.1 Terra
GPT-6.1 Terra takes 1.05M tokens against 1.05M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Muse Spark 1.3
GPT-6.1 Terra $0.0035, Muse Spark 1.3 $0.0034 per turn.
List prices
At a glance
- Coding index
- GPT-6.1 Terra 77.4 from 4 benchmarks, Muse Spark 1.3 57.4 from 4 benchmarks.
- Widest category
- Agentic work, 22.7 points apart on average over 6 shared benchmarks.
- Widest single gap
- LiveBench browser: GPT-6.1 Terra 93.1% against Muse Spark 1.3 30.9%, 62.2 points apart on a 0 to 100 scale.
- Output price
- GPT-6.1 Terra $5.00 against Muse Spark 1.3 $4.25 per million output tokens, 1.2x apart.
- Context window
- GPT-6.1 Terra takes 1.05M tokens, Muse Spark 1.3 1.05M.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | GPT-6.1 Terra | Bars | Muse Spark 1.3 | Ties |
|---|---|---|---|---|
| Coding | 6 | 2 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 4 | 2 | ||
| Reasoning | 2 | 2 | ||
| Math | 3 | 0 | ||
| Web design | 2 | 3 | ||
| General | 1 | 1 | ||
| All shared boards | 19 | 10 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index62
| Benchmark | GPT-6.1 Terra | Muse Spark 1.3 | Leader |
|---|---|---|---|
| LiveBench coding | 94.3% | 90.2% | GPT-6.1 Terra |
| LMArena WebDev | 1673 | 1656 | GPT-6.1 Terra |
| AA Coding Index | Not measured | 75.8 | Only Muse Spark 1.3 measured |
| Terminal-Bench 4 (Vals AI) | 49.5% | 10.6% | GPT-6.1 Terra |
| Vibe Code Bench (Vals AI) | 84.0% | 82.9% | GPT-6.1 Terra |
| Code migration (Vals AI) | Not measured | 27.6% | Only Muse Spark 1.3 measured |
| ProgramBench (Vals AI) | Not measured | 0.5% | Only Muse Spark 1.3 measured |
| IOI (Vals AI) | Not measured | 43.9% | Only Muse Spark 1.3 measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 72.3% | Only Muse Spark 1.3 measured |
| CyberBench (Vals AI) | Not measured | 69.4% | Only Muse Spark 1.3 measured |
| SciCode | 55.1% | 59.7% | Muse Spark 1.3 |
| FrontierSWE | Not measured | 25.8% | Only Muse Spark 1.3 measured |
| ALE-Bench | 2608.8 | 1688.3 | GPT-6.1 Terra |
| LMArena Text: coding | Not measured | 1509 | Only Muse Spark 1.3 measured |
| LMArena Text: software and IT | Not measured | 1508 | Only Muse Spark 1.3 measured |
| LMArena WebDev: React | 1657 | 1670 | Muse Spark 1.3 |
| LMArena WebDev: HTML | 1719 | 1654 | GPT-6.1 Terra |
| LMArena WebDev: from an image | Not measured | 1640 | Only Muse Spark 1.3 measured |
| Neither model has a result on the other 25 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | GPT-6.1 Terra | Muse Spark 1.3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 51.0 | 36.4 | GPT-6.1 Terra |
| Epoch Capabilities Index | Not measured | 157.2 | Only Muse Spark 1.3 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index42
| Benchmark | GPT-6.1 Terra | Muse Spark 1.3 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 55.5 | Only Muse Spark 1.3 measured |
| Design Arena: agents building web apps | Not measured | 1297 | Only Muse Spark 1.3 measured |
| Design Arena: agents building full-stack apps | Not measured | 1295 | Only Muse Spark 1.3 measured |
| Design Arena: agents building mobile apps | Not measured | 1216 | Only Muse Spark 1.3 measured |
| Design Arena: agents building Godot games | Not measured | 1241 | Only Muse Spark 1.3 measured |
| Design Arena: PowerPoint slides | Not measured | 1201 | Only Muse Spark 1.3 measured |
| Design Arena: spreadsheets | Not measured | 1094 | Only Muse Spark 1.3 measured |
| LiveBench research | 73.9% | 68.6% | GPT-6.1 Terra |
| LiveBench browser | 93.1% | 30.9% | GPT-6.1 Terra |
| LiveBench long agentic | 48.6% | 25.5% | GPT-6.1 Terra |
| Finance Agent (Vals AI) | Not measured | 58.9% | Only Muse Spark 1.3 measured |
| Tax Agent Bench (Vals AI) | 15.2% | 36.0% | Muse Spark 1.3 |
| Legal Research Bench (Vals AI) | 26.0% | 40.9% | Muse Spark 1.3 |
| Harvey's Legal Agent Benchmark (Vals AI) | 1.7% | Not measured | Only GPT-6.1 Terra measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 62.7% | Only Muse Spark 1.3 measured |
| Terminal-Bench-Science (Vals AI) | Not measured | 4.3% | Only Muse Spark 1.3 measured |
| APEX-Agents | 68.3% | 58.6% | GPT-6.1 Terra |
| Neither model has a result on the other 25 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index22
| Benchmark | GPT-6.1 Terra | Muse Spark 1.3 | Leader |
|---|---|---|---|
| LiveBench reasoning | 88.7% | 89.7% | Muse Spark 1.3 |
| GPQA Diamond (Artificial Analysis run) | Not measured | 94.1% | Only Muse Spark 1.3 measured |
| Humanity's Last Exam (Artificial Analysis run) | 46.2% | 48.7% | Muse Spark 1.3 |
| GPQA Diamond (Epoch AI run) | 94.3% | Not measured | Only GPT-6.1 Terra measured |
| Chess puzzles | Not measured | 37.0% | Only Muse Spark 1.3 measured |
| Mystery game puzzles | 74.0% | 25.0% | GPT-6.1 Terra |
| EBR-bench | 78.1% | Not measured | Only GPT-6.1 Terra measured |
| LMArena Text: hard prompts | Not measured | 1503 | Only Muse Spark 1.3 measured |
| LMArena Text: expert | Not measured | 1510 | Only Muse Spark 1.3 measured |
| LMArena Text: hard prompts in English | Not measured | 1500 | Only Muse Spark 1.3 measured |
| LMArena Vision: diagrams | Not measured | 1330 | Only Muse Spark 1.3 measured |
| LMArena Vision: homework | Not measured | 1296 | Only Muse Spark 1.3 measured |
| Humanity's Last Exam (Scale run) | 35.7% | 25.4% | GPT-6.1 Terra |
| Neither model has a result on the other 10 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | GPT-6.1 Terra | Muse Spark 1.3 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 100.0% | 99.2% | GPT-6.1 Terra |
| FrontierMath, tiers 1 to 3 | 90.9% | 74.4% | GPT-6.1 Terra |
| FrontierMath, tier 4 | 92.7% | 46.3% | GPT-6.1 Terra |
| ProofBench | Not measured | 58.0% | Only Muse Spark 1.3 measured |
| LMArena Text: math | Not measured | 1501 | Only Muse Spark 1.3 measured |
| LMArena Text: mathematical work | Not measured | 1492 | Only Muse Spark 1.3 measured |
| MathArena | Not measured | 42.5% | Only Muse Spark 1.3 measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | GPT-6.1 Terra | Muse Spark 1.3 | Leader |
|---|---|---|---|
| SimpleQA Verified | 57.3% | Not measured | Only GPT-6.1 Terra measured |
| LMArena Text: science | Not measured | 1506 | Only Muse Spark 1.3 measured |
| LMArena Text: medicine and healthcare | Not measured | 1493 | Only Muse Spark 1.3 measured |
| LMArena Text: legal and government | Not measured | 1496 | Only Muse Spark 1.3 measured |
| LMArena Text: business and finance | Not measured | 1486 | Only Muse Spark 1.3 measured |
| PRBench Finance | Not measured | 59.5% | Only Muse Spark 1.3 measured |
| PRBench Legal | Not measured | 61.6% | Only Muse Spark 1.3 measured |
| Neither model has a result on the other 13 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index23
| Benchmark | GPT-6.1 Terra | Muse Spark 1.3 | Leader |
|---|---|---|---|
| Design Arena: websites | 1283 | 1355 | Muse Spark 1.3 |
| Design Arena: UI components | 1277 | 1345 | Muse Spark 1.3 |
| Design Arena: game dev | 1348 | 1331 | GPT-6.1 Terra |
| Design Arena: data viz | Not measured | 1344 | Only Muse Spark 1.3 measured |
| Design Arena: 3D | Not measured | 1360 | Only Muse Spark 1.3 measured |
| Design Arena: all code categories | 1295 | 1351 | Muse Spark 1.3 |
| Design Arena: SVG | Not measured | 1299 | Only Muse Spark 1.3 measured |
| Design Arena: ASCII art | Not measured | 1285 | Only Muse Spark 1.3 measured |
| LiveBench design | 82.3% | 74.8% | GPT-6.1 Terra |
GeneralLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | GPT-6.1 Terra | Muse Spark 1.3 | Leader |
|---|---|---|---|
| Vals Index | 60.5% | Not measured | Only GPT-6.1 Terra measured |
| LiveBench data analysis | 82.3% | 79.6% | GPT-6.1 Terra |
| Long context reasoning (AA-LCR) | 82.7% | 83.0% | Muse Spark 1.3 |
| DTBench | Not measured | 96.5% | Only Muse Spark 1.3 measured |
| LMCA | Not measured | 53.9% | Only Muse Spark 1.3 measured |
| Furniture assembly | 79.2% | Not measured | Only GPT-6.1 Terra measured |
| LMArena Text | Not measured | 1491 | Only Muse Spark 1.3 measured |
| LMArena Text: instruction following | Not measured | 1478 | Only Muse Spark 1.3 measured |
| LMArena Text: creative writing | Not measured | 1464 | Only Muse Spark 1.3 measured |
| LMArena Vision | Not measured | 1308 | Only Muse Spark 1.3 measured |
| LMArena Text: English | Not measured | 1494 | Only Muse Spark 1.3 measured |
| LMArena Text: non-English | Not measured | 1482 | Only Muse Spark 1.3 measured |
| LMArena Text: Chinese | Not measured | 1526 | Only Muse Spark 1.3 measured |
| LMArena Text: German | Not measured | 1504 | Only Muse Spark 1.3 measured |
| LMArena Text: Japanese | Not measured | 1472 | Only Muse Spark 1.3 measured |
| LMArena Text: Korean | Not measured | 1494 | Only Muse Spark 1.3 measured |
| LMArena Text: French | Not measured | 1508 | Only Muse Spark 1.3 measured |
| LMArena Text: Spanish | Not measured | 1488 | Only Muse Spark 1.3 measured |
| LMArena Text: Russian | Not measured | 1495 | Only Muse Spark 1.3 measured |
| LMArena Text: Polish | Not measured | 1491 | Only Muse Spark 1.3 measured |
| LMArena Text: multi-turn | Not measured | 1488 | Only Muse Spark 1.3 measured |
| LMArena Text: longer queries | Not measured | 1488 | Only Muse Spark 1.3 measured |
| LMArena Text: writing and language | Not measured | 1471 | Only Muse Spark 1.3 measured |
| LMArena Text: entertainment and media | Not measured | 1459 | Only Muse Spark 1.3 measured |
| LMArena Vision: English | Not measured | 1298 | Only Muse Spark 1.3 measured |
| LMArena Vision: Chinese | Not measured | 1384 | Only Muse Spark 1.3 measured |
| LMArena Vision: reading text | Not measured | 1319 | Only Muse Spark 1.3 measured |
| LMArena Vision: humor | Not measured | 1293 | Only Muse Spark 1.3 measured |
| LMArena Vision: creative writing | Not measured | 1296 | Only Muse Spark 1.3 measured |
| MultiChallenge | 74.2% | Not measured | Only GPT-6.1 Terra measured |
| Neither model has a result on the other 18 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-6.1 Terra | Muse Spark 1.3 | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
Muse Spark 1.3 costs less
Repository review
50K input + 3K output tokens
GPT-6.1 Terra costs less
Agent loop
200K input + 10K output tokens
GPT-6.1 Terra costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | OpenAI GPT-6.1 Terra | Meta Muse Spark 1.3 |
|---|---|---|
| Maker | OpenAI | Meta |
| Weights | No public weights listed | No public weights listed |
| Released | October 26, 2026 | September 2, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $1.00 | $1.25 |
| Output $/Mtok | $5.00 | $4.25 |
| Coding index | 77.4 | 57.4 |
| Independent measurements behind it | 4 | 4 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-6.1 Terra better than Muse Spark 1.3 for coding?
Pick GPT-6.1 Terra for coding: it scores 77.4 on the Vibe Coding Index against 57.4 for Muse Spark 1.3. Pick Muse Spark 1.3 for output tokens 1.2x cheaper ($4.25 vs $5.00 per million) and work measured by SciCode or LMArena WebDev: React, where it leads.
Which is cheaper, GPT-6.1 Terra or Muse Spark 1.3?
GPT-6.1 Terra costs $1.00 per million input tokens and $5.00 per million output tokens; Muse Spark 1.3 costs $1.25 and $4.25. Cost per solved task is known for neither of them.
Which has the bigger context window, GPT-6.1 Terra or Muse Spark 1.3?
GPT-6.1 Terra, with 1.05M tokens against 1.05M.
How many benchmarks is the GPT-6.1 Terra vs Muse Spark 1.3 comparison based on?
29 benchmarks have a result for both models as of October 29, 2026. GPT-6.1 Terra's coding index rests on 4 independent benchmarks and Muse Spark 1.3's on 4. Where only one model has a result, the page says so instead of naming a winner.