GPT-6.1 Terra vs Muse Ember
GPT-6.1 Terra leads Muse Ember on coding, 76.4 to 64.9 on the Vibe Coding Index, and Muse Ember costs 10.0x less per output token ($0.50 vs $5.00 per million). Updated November 14, 2026; 15 benchmarks have a result for both.
GPT-6.1 Terra or Muse Ember: which to pick
Pick GPT-6.1 Terra for coding: it scores 76.4 on the Vibe Coding Index against 64.9 for Muse Ember.
Pick Muse Ember for output tokens 10.0x cheaper ($0.50 vs $5.00 per million) and work measured by Tax Agent Bench (Vals AI) or Legal Research Bench (Vals AI), where it leads.
- Shared results
- 15
- GPT-6.1 Terra only
- 40
- Muse Ember only
- 0
- 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 76.4 against 64.9.
4 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
No call
Only GPT-6.1 Terra has a AA Intelligence Index result, 51.3.
Directional only
Web design
Design Arena: websites
No call
Only GPT-6.1 Terra has a Design Arena: websites result, 1287.
Directional only
General
Vals Index
GPT-6.1 Terra
GPT-6.1 Terra leads, 60.5% 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
Muse Ember
GPT-6.1 Terra $0.0035, Muse Ember $0.0003 per turn.
List prices
At a glance
- Coding index
- GPT-6.1 Terra 76.4 from 4 benchmarks, Muse Ember 64.9 from 3 benchmarks.
- Widest category
- Reasoning, 25.6 points apart on average over 2 shared benchmarks.
- Widest single gap
- CritPt v2, hard subset (Artificial Analysis run): GPT-6.1 Terra 68.0% against Muse Ember 39.0%, 29.0 points apart on a 0 to 100 scale.
- Output price
- GPT-6.1 Terra $5.00 against Muse Ember $0.50 per million output tokens, 10.0x apart.
- Context window
- GPT-6.1 Terra takes 1.05M tokens, Muse Ember 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 Ember | Ties |
|---|---|---|---|---|
| Coding | 7 | 0 | ||
| Agentic work | 1 | 3 | ||
| Reasoning | 2 | 0 | ||
| Knowledge | 1 | 0 | ||
| General | 1 | 0 | ||
| All shared boards | 12 | 3 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index70
| Benchmark | GPT-6.1 Terra | Muse Ember | Leader |
|---|---|---|---|
| LiveBench coding | 89.2% | Not measured | Only GPT-6.1 Terra measured |
| LMArena WebDev | 1678 | 1609 | GPT-6.1 Terra |
| Terminal-Bench 4 (Vals AI) | 49.5% | 39.4% | GPT-6.1 Terra |
| Vibe Code Bench (Vals AI) | 84.0% | 83.7% | GPT-6.1 Terra |
| SciCode | 55.1% | Not measured | Only GPT-6.1 Terra measured |
| Terminal-Bench 4.0 (Artificial Analysis run) | 55.6% | 40.9% | GPT-6.1 Terra |
| FrontierCode 2.0 | 42.3% | 27.2% | GPT-6.1 Terra |
| MirrorCode | 76.7% | Not measured | Only GPT-6.1 Terra measured |
| ALE-Bench | 2608.8 | Not measured | Only GPT-6.1 Terra measured |
| LMArena WebDev: React | 1664 | 1616 | GPT-6.1 Terra |
| LMArena WebDev: HTML | 1740 | 1621 | GPT-6.1 Terra |
| GameBench 2 | 85.8 | Not measured | Only GPT-6.1 Terra measured |
| Terminal-Bench 4.0 | 51.8% | Not measured | Only GPT-6.1 Terra measured |
| Neither model has a result on the other 39 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | GPT-6.1 Terra | Muse Ember | Leader |
|---|---|---|---|
| AA Intelligence Index | 51.3 | Not measured | Only GPT-6.1 Terra measured |
| Epoch Capabilities Index | 167.7 | Not measured | Only GPT-6.1 Terra measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index13
| Benchmark | GPT-6.1 Terra | Muse Ember | Leader |
|---|---|---|---|
| Design Arena: agents building mobile apps | 1169 | Not measured | Only GPT-6.1 Terra measured |
| Design Arena: spreadsheets | 1027 | Not measured | Only GPT-6.1 Terra measured |
| LiveBench research | 79.1% | Not measured | Only GPT-6.1 Terra measured |
| LiveBench browser | 93.1% | Not measured | Only GPT-6.1 Terra measured |
| LiveBench long agentic | 56.2% | Not measured | Only GPT-6.1 Terra measured |
| Tax Agent Bench (Vals AI) | 17.1% | 38.2% | Muse Ember |
| Legal Research Bench (Vals AI) | 26.0% | 49.0% | Muse Ember |
| Harvey's Legal Agent Benchmark (Vals AI) | 1.7% | 25.0% | Muse Ember |
| APEX-Agents | 68.3% | 64.3% | GPT-6.1 Terra |
| SpireClimb | 22.3% | Not measured | Only GPT-6.1 Terra measured |
| Vending-Bench 2 | $9,107 | Not measured | Only GPT-6.1 Terra measured |
| Neither model has a result on the other 33 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | GPT-6.1 Terra | Muse Ember | Leader |
|---|---|---|---|
| LiveBench reasoning | 88.7% | Not measured | Only GPT-6.1 Terra measured |
| Humanity's Last Exam (Artificial Analysis run) | 46.2% | Not measured | Only GPT-6.1 Terra measured |
| HLE-Diamond (Artificial Analysis run) | 47.3% | 25.1% | GPT-6.1 Terra |
| CritPt v2, hard subset (Artificial Analysis run) | 68.0% | 39.0% | GPT-6.1 Terra |
| GPQA Diamond (Epoch AI run) | 94.3% | Not measured | Only GPT-6.1 Terra measured |
| SimpleBench | 72.2% | 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 |
| Humanity's Last Exam (Scale run) | 35.7% | Not measured | Only GPT-6.1 Terra measured |
| Neither model has a result on the other 17 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
| Benchmark | GPT-6.1 Terra | Muse Ember | 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 |
| Neither model has a result on the other 11 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | GPT-6.1 Terra | Muse Ember | Leader |
|---|---|---|---|
| AA-Omniscience | 29.6 | 7.7 | GPT-6.1 Terra |
| SimpleQA Verified | 57.3% | Not measured | Only GPT-6.1 Terra measured |
| FACTS Benchmark Suite | 74.1% | Not measured | Only GPT-6.1 Terra measured |
| Neither model has a result on the other 18 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | GPT-6.1 Terra | Muse Ember | Leader |
|---|---|---|---|
| Design Arena: websites | 1287 | Not measured | Only GPT-6.1 Terra measured |
| Design Arena: UI components | 1289 | Not measured | Only GPT-6.1 Terra measured |
| Design Arena: game dev | 1332 | Not measured | Only GPT-6.1 Terra measured |
| Design Arena: data viz | 1164 | Not measured | Only GPT-6.1 Terra measured |
| Design Arena: 3D | 1295 | Not measured | Only GPT-6.1 Terra measured |
| Design Arena: all code categories | 1299 | Not measured | Only GPT-6.1 Terra measured |
| Design Arena: SVG | 1290 | Not measured | Only GPT-6.1 Terra measured |
| LiveBench design | 79.7% | Not measured | Only GPT-6.1 Terra measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | GPT-6.1 Terra | Muse Ember | Leader |
|---|---|---|---|
| Vals Index | 60.5% | 60.5% | GPT-6.1 Terra |
| LiveBench data analysis | 82.3% | Not measured | Only GPT-6.1 Terra measured |
| Long context reasoning (AA-LCR) | 82.7% | Not measured | Only GPT-6.1 Terra measured |
| GDPval-AA | 1476 | Not measured | Only GPT-6.1 Terra measured |
| Furniture assembly | 79.2% | Not measured | Only GPT-6.1 Terra measured |
| MultiChallenge | 74.2% | Not measured | Only GPT-6.1 Terra measured |
| Neither model has a result on the other 43 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-6.1 Terra | Muse Ember | 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 Ember costs less
Repository review
50K input + 3K output tokens
Muse Ember costs less
Agent loop
200K input + 10K output tokens
Muse Ember 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 Ember |
|---|---|---|
| Maker | OpenAI | Meta |
| Weights | No public weights listed | No public weights listed |
| Released | October 26, 2026 | November 9, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $1.00 | $0.10 |
| Output $/Mtok | $5.00 | $0.50 |
| Coding index | 76.4 | 64.9 |
| 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 Ember for coding?
Pick GPT-6.1 Terra for coding: it scores 76.4 on the Vibe Coding Index against 64.9 for Muse Ember. Pick Muse Ember for output tokens 10.0x cheaper ($0.50 vs $5.00 per million) and work measured by Tax Agent Bench (Vals AI) or Legal Research Bench (Vals AI), where it leads.
Which is cheaper, GPT-6.1 Terra or Muse Ember?
GPT-6.1 Terra costs $1.00 per million input tokens and $5.00 per million output tokens; Muse Ember costs $0.10 and $0.50. Cost per solved task is known for neither of them.
Which has the bigger context window, GPT-6.1 Terra or Muse Ember?
GPT-6.1 Terra, with 1.05M tokens against 1.05M.
How many benchmarks is the GPT-6.1 Terra vs Muse Ember comparison based on?
15 benchmarks have a result for both models as of November 14, 2026. GPT-6.1 Terra's coding index rests on 4 independent benchmarks and Muse Ember's on 3. Where only one model has a result, the page says so instead of naming a winner.