GPT-6.1 Terra vs Muse Wonder
GPT-6.1 Terra leads Muse Wonder on coding, 77.4 to 72.0 on the Vibe Coding Index, and GPT-6.1 Terra costs 4.0x less per output token ($5.00 vs $20.00 per million). Updated October 29, 2026; 16 benchmarks have a result for both.
GPT-6.1 Terra or Muse Wonder: which to pick
Pick GPT-6.1 Terra for coding: it scores 77.4 on the Vibe Coding Index against 72.0 for Muse Wonder.
Pick Muse Wonder for work measured by SciCode or Tax Agent Bench (Vals AI), where it leads.
- Shared results
- 16
- GPT-6.1 Terra only
- 20
- Muse Wonder only
- 49
- Like-for-like categories
- 5 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 72.0.
4 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
No call
Only GPT-6.1 Terra has a AA Intelligence Index result, 51.0.
Directional only
Web design
Design Arena: websites
Muse Wonder
Muse Wonder leads, 1366 against 1283.
Same board, both measured
General
Vals Index
Muse Wonder
Muse Wonder leads, 64.9% against 60.5%.
Same board, both measured
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
GPT-6.1 Terra
GPT-6.1 Terra $0.0035, Muse Wonder $0.014 per turn.
List prices
At a glance
- Coding index
- GPT-6.1 Terra 77.4 from 4 benchmarks, Muse Wonder 72.0 from 3 benchmarks.
- Widest category
- Agentic work, 22.6 points apart on average over 3 shared benchmarks.
- Widest single gap
- Legal Research Bench (Vals AI): GPT-6.1 Terra 26.0% against Muse Wonder 50.5%, 24.5 points apart on a 0 to 100 scale.
- Output price
- GPT-6.1 Terra $5.00 against Muse Wonder $20.00 per million output tokens, 4.0x apart.
- Context window
- GPT-6.1 Terra takes 1.05M tokens, Muse Wonder 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 Wonder | Ties |
|---|---|---|---|---|
| Coding | 4 | 1 | 1 tie | |
| Agentic work | 0 | 3 | ||
| Reasoning | 0 | 1 | ||
| Web design | 0 | 4 | ||
| General | 1 | 1 | ||
| All shared boards | 5 | 10 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index41
| Benchmark | GPT-6.1 Terra | Muse Wonder | Leader |
|---|---|---|---|
| LiveBench coding | 94.3% | Not measured | Only GPT-6.1 Terra measured |
| LMArena WebDev | 1673 | 1652 | GPT-6.1 Terra |
| Terminal-Bench 4 (Vals AI) | 49.5% | 49.5% | Tie |
| Vibe Code Bench (Vals AI) | 84.0% | 83.1% | GPT-6.1 Terra |
| Code migration (Vals AI) | Not measured | 62.5% | Only Muse Wonder measured |
| IOI (Vals AI) | Not measured | 66.9% | Only Muse Wonder measured |
| SWE-bench Multimodal (Vals AI) | Not measured | 45.6% | Only Muse Wonder measured |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 26.6% | Only Muse Wonder measured |
| CyberBench (Vals AI) | Not measured | 80.4% | Only Muse Wonder measured |
| SciCode | 55.1% | 60.3% | Muse Wonder |
| ALE-Bench | 2608.8 | Not measured | Only GPT-6.1 Terra measured |
| LMArena Text: coding | Not measured | 1518 | Only Muse Wonder measured |
| LMArena Text: software and IT | Not measured | 1515 | Only Muse Wonder measured |
| LMArena WebDev: React | 1657 | 1651 | GPT-6.1 Terra |
| LMArena WebDev: HTML | 1719 | 1670 | GPT-6.1 Terra |
| Neither model has a result on the other 28 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | GPT-6.1 Terra | Muse Wonder | Leader |
|---|---|---|---|
| AA Intelligence Index | 51.0 | Not measured | Only GPT-6.1 Terra measured |
| Epoch Capabilities Index | Not measured | 161.8 | Only Muse Wonder measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | GPT-6.1 Terra | Muse Wonder | Leader |
|---|---|---|---|
| Design Arena: HTML slides | Not measured | 1133 | Only Muse Wonder measured |
| Design Arena: PowerPoint slides | Not measured | 1095 | Only Muse Wonder measured |
| Design Arena: spreadsheets | Not measured | 1279 | Only Muse Wonder measured |
| LiveBench research | 73.9% | Not measured | Only GPT-6.1 Terra measured |
| LiveBench browser | 93.1% | Not measured | Only GPT-6.1 Terra measured |
| LiveBench long agentic | 48.6% | Not measured | Only GPT-6.1 Terra measured |
| Finance Agent (Vals AI) | Not measured | 56.6% | Only Muse Wonder measured |
| Tax Agent Bench (Vals AI) | 15.2% | 36.3% | Muse Wonder |
| Legal Research Bench (Vals AI) | 26.0% | 50.5% | Muse Wonder |
| Harvey's Legal Agent Benchmark (Vals AI) | 1.7% | 23.8% | Muse Wonder |
| Excel Modeling Benchmark (Vals AI) | Not measured | 67.1% | Only Muse Wonder measured |
| BioMysteryBench (Vals AI) | Not measured | 67.0% | Only Muse Wonder measured |
| Terminal-Bench-Science (Vals AI) | Not measured | 22.9% | Only Muse Wonder measured |
| Vals Science Index | Not measured | 39.1% | Only Muse Wonder measured |
| CUA-bench (Vals AI) | Not measured | 7.2% | Only Muse Wonder measured |
| APEX-Agents | 68.3% | Not measured | Only GPT-6.1 Terra measured |
| Vending-Bench 2 | Not measured | $9,432 | Only Muse Wonder measured |
| Neither model has a result on the other 25 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | GPT-6.1 Terra | Muse Wonder | Leader |
|---|---|---|---|
| LiveBench reasoning | 88.7% | Not measured | Only GPT-6.1 Terra measured |
| MysteryMechanism (Vals AI) | Not measured | 27.5% | Only Muse Wonder measured |
| Humanity's Last Exam (Artificial Analysis run) | 46.2% | 50.1% | Muse Wonder |
| GPQA Diamond (Epoch AI run) | 94.3% | Not measured | Only GPT-6.1 Terra measured |
| Mystery game puzzles | 74.0% | Not measured | Only GPT-6.1 Terra measured |
| EBR-bench | 78.1% | Not measured | Only GPT-6.1 Terra measured |
| LMArena Text: hard prompts | Not measured | 1507 | Only Muse Wonder measured |
| LMArena Text: expert | Not measured | 1506 | Only Muse Wonder measured |
| LMArena Text: hard prompts in English | Not measured | 1510 | Only Muse Wonder measured |
| Humanity's Last Exam (Scale run) | 35.7% | Not measured | Only GPT-6.1 Terra measured |
| Neither model has a result on the other 13 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | GPT-6.1 Terra | Muse Wonder | Leader |
|---|---|---|---|
| OTIS Mock AIME | 100.0% | Not measured | Only GPT-6.1 Terra measured |
| FrontierMath, tiers 1 to 3 | 90.9% | Not measured | Only GPT-6.1 Terra measured |
| FrontierMath, tier 4 | 92.7% | Not measured | Only GPT-6.1 Terra measured |
| ProofBench | Not measured | 84.0% | Only Muse Wonder measured |
| LMArena Text: math | Not measured | 1477 | Only Muse Wonder measured |
| LMArena Text: mathematical work | Not measured | 1499 | Only Muse Wonder measured |
| MathArena | Not measured | 56.4% | Only Muse Wonder measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
| Benchmark | GPT-6.1 Terra | Muse Wonder | Leader |
|---|---|---|---|
| SimpleQA Verified | 57.3% | Not measured | Only GPT-6.1 Terra measured |
| LMArena Text: science | Not measured | 1505 | Only Muse Wonder measured |
| LMArena Text: medicine and healthcare | Not measured | 1514 | Only Muse Wonder measured |
| LMArena Text: legal and government | Not measured | 1509 | Only Muse Wonder measured |
| LMArena Text: business and finance | Not measured | 1487 | Only Muse Wonder measured |
| Neither model has a result on the other 15 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | GPT-6.1 Terra | Muse Wonder | Leader |
|---|---|---|---|
| Design Arena: websites | 1283 | 1366 | Muse Wonder |
| Design Arena: UI components | 1277 | 1379 | Muse Wonder |
| Design Arena: game dev | 1348 | 1402 | Muse Wonder |
| Design Arena: data viz | Not measured | 1304 | Only Muse Wonder measured |
| Design Arena: 3D | Not measured | 1442 | Only Muse Wonder measured |
| Design Arena: all code categories | 1295 | 1381 | Muse Wonder |
| LiveBench design | 82.3% | Not measured | Only GPT-6.1 Terra measured |
| Neither model has a result on the other 2 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | GPT-6.1 Terra | Muse Wonder | Leader |
|---|---|---|---|
| Vals Index | 60.5% | 64.9% | Muse Wonder |
| LiveBench data analysis | 82.3% | Not measured | Only GPT-6.1 Terra measured |
| Public Benefits Bench (Vals AI) | Not measured | 70.2% | Only Muse Wonder measured |
| Long context reasoning (AA-LCR) | 82.7% | 80.7% | GPT-6.1 Terra |
| DTBench | Not measured | 95.2% | Only Muse Wonder measured |
| LMCA | Not measured | 56.8% | Only Muse Wonder measured |
| Furniture assembly | 79.2% | Not measured | Only GPT-6.1 Terra measured |
| LMArena Text | Not measured | 1499 | Only Muse Wonder measured |
| LMArena Text: instruction following | Not measured | 1494 | Only Muse Wonder measured |
| LMArena Text: creative writing | Not measured | 1488 | Only Muse Wonder measured |
| LMArena Text: English | Not measured | 1505 | Only Muse Wonder measured |
| LMArena Text: non-English | Not measured | 1490 | Only Muse Wonder measured |
| LMArena Text: Chinese | Not measured | 1531 | Only Muse Wonder measured |
| LMArena Text: French | Not measured | 1507 | Only Muse Wonder measured |
| LMArena Text: Spanish | Not measured | 1463 | Only Muse Wonder measured |
| LMArena Text: Russian | Not measured | 1518 | Only Muse Wonder measured |
| LMArena Text: multi-turn | Not measured | 1505 | Only Muse Wonder measured |
| LMArena Text: longer queries | Not measured | 1495 | Only Muse Wonder measured |
| LMArena Text: writing and language | Not measured | 1493 | Only Muse Wonder measured |
| LMArena Text: entertainment and media | Not measured | 1484 | Only Muse Wonder measured |
| MultiChallenge | 74.2% | Not measured | Only GPT-6.1 Terra measured |
| EQ-Bench 4 | Not measured | 1325 | Only Muse Wonder measured |
| Neither model has a result on the other 26 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-6.1 Terra | Muse Wonder | 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
GPT-6.1 Terra 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 Wonder |
|---|---|---|
| Maker | OpenAI | Meta |
| Weights | No public weights listed | No public weights listed |
| Released | October 26, 2026 | October 12, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $1.00 | $4.00 |
| Output $/Mtok | $5.00 | $20.00 |
| Coding index | 77.4 | 72.0 |
| Independent measurements behind it | 4 | 3 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-6.1 Terra better than Muse Wonder for coding?
Pick GPT-6.1 Terra for coding: it scores 77.4 on the Vibe Coding Index against 72.0 for Muse Wonder. Pick Muse Wonder for work measured by SciCode or Tax Agent Bench (Vals AI), where it leads.
Which is cheaper, GPT-6.1 Terra or Muse Wonder?
GPT-6.1 Terra costs $1.00 per million input tokens and $5.00 per million output tokens; Muse Wonder costs $4.00 and $20.00. Cost per solved task is known for neither of them.
Which has the bigger context window, GPT-6.1 Terra or Muse Wonder?
GPT-6.1 Terra, with 1.05M tokens against 1.05M.
How many benchmarks is the GPT-6.1 Terra vs Muse Wonder comparison based on?
16 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 Wonder's on 3. Where only one model has a result, the page says so instead of naming a winner.