GPT-5.2-Codex vs Muse Spark 1.1
Muse Spark 1.1 leads GPT-5.2-Codex on coding, 70.3 to 45.4 on the Vibe Coding Index, and Muse Spark 1.1 costs 3.3x less per output token ($4.25 vs $14.00 per million). Updated October 22, 2026; 15 benchmarks have a result for both.
GPT-5.2-Codex or Muse Spark 1.1: which to pick
Pick Muse Spark 1.1 for coding: it scores 70.3 on the Vibe Coding Index against 45.4 for GPT-5.2-Codex.
Pick GPT-5.2-Codex for work measured by LiveCodeBench (Vals AI) or Design Arena: agents building Godot games, where it leads.
- Shared results
- 15
- GPT-5.2-Codex only
- 7
- Muse Spark 1.1 only
- 81
- 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
Muse Spark 1.1
Muse Spark 1.1 scores 70.3 against 45.4.
3 benchmarks behind each score
Intelligence
AA Intelligence Index
Muse Spark 1.1
Muse Spark 1.1 leads, 33.7 against 28.5.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Muse Spark 1.1 has a AA Agentic Index result, 25.8.
Directional only
Reasoning
GPQA Diamond
No call
Only Muse Spark 1.1 has a GPQA Diamond result, 91.2%.
Directional only
Knowledge
MMLU Pro
No call
Only Muse Spark 1.1 has a MMLU Pro result, 88.7%.
Directional only
Web design
Design Arena: websites
No call
Only Muse Spark 1.1 has a Design Arena: websites result, 1270.
Directional only
Long documents
Listed context window
Muse Spark 1.1
Muse Spark 1.1 takes 1.05M tokens against 400K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Muse Spark 1.1
GPT-5.2-Codex $0.0088, Muse Spark 1.1 $0.0034 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
GPT-5.2-Codex $0.43, Muse Spark 1.1 $0.43.
Published attempt cost and pass rate
At a glance
- Coding index
- GPT-5.2-Codex 45.4 from 3 benchmarks, Muse Spark 1.1 70.3 from 3 benchmarks.
- Widest category
- Coding, 23.4 points apart on average over 6 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): GPT-5.2-Codex 37.9% against Muse Spark 1.1 72.2%, 34.3 points apart on a 0 to 100 scale.
- Output price
- GPT-5.2-Codex $14.00 against Muse Spark 1.1 $4.25 per million output tokens, 3.3x apart.
- Context window
- GPT-5.2-Codex takes 400K tokens, Muse Spark 1.1 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-5.2-Codex | Bars | Muse Spark 1.1 | Ties |
|---|---|---|---|---|
| Coding | 1 | 5 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 1 | 4 | ||
| Reasoning | 1 | 1 | ||
| General | 1 | 0 | ||
| All shared boards | 4 | 11 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index15
| Benchmark | GPT-5.2-Codex | Muse Spark 1.1 | Leader |
|---|---|---|---|
| SWE-bench Verified | 72.8% | Not measured | Only GPT-5.2-Codex measured |
| SWE-bench Multilingual | 66.3% | Not measured | Only GPT-5.2-Codex measured |
| LMArena WebDev | 1339 | 1542 | Muse Spark 1.1 |
| AA Coding Index | Not measured | 71.3 | Only Muse Spark 1.1 measured |
| LiveCodeBench (Vals AI) | 88.0% | 85.9% | GPT-5.2-Codex |
| SWE-bench Verified (Vals AI) | 72.4% | 82.0% | Muse Spark 1.1 |
| Vibe Code Bench (Vals AI) | 37.9% | 72.2% | Muse Spark 1.1 |
| Code migration (Vals AI) | Not measured | 31.1% | Only Muse Spark 1.1 measured |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only Muse Spark 1.1 measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 69.3% | Only Muse Spark 1.1 measured |
| SkillsBench (Vals AI) | Not measured | 59.2% | Only Muse Spark 1.1 measured |
| SciCode | Not measured | 58.8% | Only Muse Spark 1.1 measured |
| Terminal-Bench Hard (Artificial Analysis run) | 37.1% | Not measured | Only GPT-5.2-Codex measured |
| Terminal-Bench | 66.5% | Not measured | Only GPT-5.2-Codex measured |
| ALE-Bench | 1299.9 | Not measured | Only GPT-5.2-Codex measured |
| LMArena Text: coding | Not measured | 1498 | Only Muse Spark 1.1 measured |
| LMArena Text: software and IT | Not measured | 1498 | Only Muse Spark 1.1 measured |
| LMArena WebDev: React | 1329 | 1532 | Muse Spark 1.1 |
| LMArena WebDev: HTML | 1348 | 1540 | Muse Spark 1.1 |
| LMArena WebDev: from an image | Not measured | 1540 | Only Muse Spark 1.1 measured |
| Neither model has a result on the other 19 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | GPT-5.2-Codex | Muse Spark 1.1 | Leader |
|---|---|---|---|
| AA Intelligence Index | 28.5 | 33.7 | Muse Spark 1.1 |
| Epoch Capabilities Index | Not measured | 154.1 | Only Muse Spark 1.1 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index14
| Benchmark | GPT-5.2-Codex | Muse Spark 1.1 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 25.8 | Only Muse Spark 1.1 measured |
| Design Arena: agents building web apps | 1051 | 1207 | Muse Spark 1.1 |
| Design Arena: agents building full-stack apps | 993 | 1199 | Muse Spark 1.1 |
| Design Arena: agents building mobile apps | 1090 | 1175 | Muse Spark 1.1 |
| Design Arena: agents building Android apps | 1176 | 1178 | Muse Spark 1.1 |
| Design Arena: agents building Godot games | 1142 | 1103 | GPT-5.2-Codex |
| Design Arena: agents building games | Not measured | 1183 | Only Muse Spark 1.1 measured |
| Design Arena: HTML slides | Not measured | 1195 | Only Muse Spark 1.1 measured |
| Design Arena: PowerPoint slides | Not measured | 1155 | Only Muse Spark 1.1 measured |
| Design Arena: spreadsheets | Not measured | 1042 | Only Muse Spark 1.1 measured |
| Finance Agent (Vals AI) | Not measured | 57.2% | Only Muse Spark 1.1 measured |
| Legal Research Bench (Vals AI) | Not measured | 38.0% | Only Muse Spark 1.1 measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 56.4% | Only Muse Spark 1.1 measured |
| Time Horizon Index (Vals AI) | Not measured | 1.7% | Only Muse Spark 1.1 measured |
| τ²-Bench Telecom | 92.1% | Not measured | Only GPT-5.2-Codex measured |
| APEX-Agents | Not measured | 31.8% | Only Muse Spark 1.1 measured |
| Vending-Bench 2 | Not measured | $6,520 | Only Muse Spark 1.1 measured |
| Neither model has a result on the other 24 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | GPT-5.2-Codex | Muse Spark 1.1 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 91.2% | Only Muse Spark 1.1 measured |
| MMMU Pro (Vals AI) | Not measured | 86.6% | Only Muse Spark 1.1 measured |
| GPQA Diamond (Artificial Analysis run) | 89.9% | 89.8% | GPT-5.2-Codex |
| Humanity's Last Exam (Artificial Analysis run) | 35.7% | 46.2% | Muse Spark 1.1 |
| Chess puzzles | Not measured | 34.0% | Only Muse Spark 1.1 measured |
| LMArena Text: hard prompts | Not measured | 1485 | Only Muse Spark 1.1 measured |
| LMArena Text: expert | Not measured | 1478 | Only Muse Spark 1.1 measured |
| LMArena Text: hard prompts in English | Not measured | 1480 | Only Muse Spark 1.1 measured |
| LMArena Vision: diagrams | Not measured | 1305 | Only Muse Spark 1.1 measured |
| LMArena Vision: homework | Not measured | 1287 | Only Muse Spark 1.1 measured |
| Neither model has a result on the other 12 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
| Benchmark | GPT-5.2-Codex | Muse Spark 1.1 | Leader |
|---|---|---|---|
| ProofBench | Not measured | 39.0% | Only Muse Spark 1.1 measured |
| LMArena Text: math | Not measured | 1482 | Only Muse Spark 1.1 measured |
| LMArena Text: mathematical work | Not measured | 1487 | Only Muse Spark 1.1 measured |
| Neither model has a result on the other 10 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index10 boards, none shared
| Benchmark | GPT-5.2-Codex | Muse Spark 1.1 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 88.7% | Only Muse Spark 1.1 measured |
| LegalBench (Vals AI) | Not measured | 85.0% | Only Muse Spark 1.1 measured |
| CorpFin (Vals AI) | Not measured | 71.3% | Only Muse Spark 1.1 measured |
| TaxEval (Vals AI) | Not measured | 79.7% | Only Muse Spark 1.1 measured |
| MortgageTax (Vals AI) | Not measured | 66.1% | Only Muse Spark 1.1 measured |
| SimpleQA Verified | Not measured | 57.8% | Only Muse Spark 1.1 measured |
| LMArena Text: science | Not measured | 1484 | Only Muse Spark 1.1 measured |
| LMArena Text: medicine and healthcare | Not measured | 1479 | Only Muse Spark 1.1 measured |
| LMArena Text: legal and government | Not measured | 1481 | Only Muse Spark 1.1 measured |
| LMArena Text: business and finance | Not measured | 1470 | Only Muse Spark 1.1 measured |
| Neither model has a result on the other 8 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | GPT-5.2-Codex | Muse Spark 1.1 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1270 | Only Muse Spark 1.1 measured |
| Design Arena: UI components | Not measured | 1289 | Only Muse Spark 1.1 measured |
| Design Arena: game dev | Not measured | 1269 | Only Muse Spark 1.1 measured |
| Design Arena: data viz | Not measured | 1268 | Only Muse Spark 1.1 measured |
| Design Arena: 3D | Not measured | 1260 | Only Muse Spark 1.1 measured |
| Design Arena: all code categories | Not measured | 1276 | Only Muse Spark 1.1 measured |
| Design Arena: SVG | Not measured | 1235 | Only Muse Spark 1.1 measured |
| Design Arena: ASCII art | Not measured | 1271 | Only Muse Spark 1.1 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-5.2-Codex | Muse Spark 1.1 | Leader |
|---|---|---|---|
| Public Benefits Bench (Vals AI) | Not measured | 61.3% | Only Muse Spark 1.1 measured |
| SAGE (Vals AI) | Not measured | 45.6% | Only Muse Spark 1.1 measured |
| MedScribe (Vals AI) | Not measured | 88.9% | Only Muse Spark 1.1 measured |
| Vals Multimodal Index | Not measured | 66.7% | Only Muse Spark 1.1 measured |
| IFBench | 77.6% | Not measured | Only GPT-5.2-Codex measured |
| Long context reasoning (AA-LCR) | 82.3% | 77.7% | GPT-5.2-Codex |
| DTBench | Not measured | 94.4% | Only Muse Spark 1.1 measured |
| LMCA | Not measured | 49.9% | Only Muse Spark 1.1 measured |
| Surface Evolver Bench | Not measured | 52.5% | Only Muse Spark 1.1 measured |
| LMArena Text | Not measured | 1478 | Only Muse Spark 1.1 measured |
| LMArena Text: instruction following | Not measured | 1457 | Only Muse Spark 1.1 measured |
| LMArena Text: creative writing | Not measured | 1435 | Only Muse Spark 1.1 measured |
| LMArena Vision | Not measured | 1293 | Only Muse Spark 1.1 measured |
| LMArena Text: English | Not measured | 1478 | Only Muse Spark 1.1 measured |
| LMArena Text: non-English | Not measured | 1471 | Only Muse Spark 1.1 measured |
| LMArena Text: Chinese | Not measured | 1515 | Only Muse Spark 1.1 measured |
| LMArena Text: German | Not measured | 1469 | Only Muse Spark 1.1 measured |
| LMArena Text: Japanese | Not measured | 1450 | Only Muse Spark 1.1 measured |
| LMArena Text: Korean | Not measured | 1459 | Only Muse Spark 1.1 measured |
| LMArena Text: French | Not measured | 1492 | Only Muse Spark 1.1 measured |
| LMArena Text: Spanish | Not measured | 1464 | Only Muse Spark 1.1 measured |
| LMArena Text: Russian | Not measured | 1482 | Only Muse Spark 1.1 measured |
| LMArena Text: Polish | Not measured | 1499 | Only Muse Spark 1.1 measured |
| LMArena Text: multi-turn | Not measured | 1484 | Only Muse Spark 1.1 measured |
| LMArena Text: longer queries | Not measured | 1462 | Only Muse Spark 1.1 measured |
| LMArena Text: writing and language | Not measured | 1448 | Only Muse Spark 1.1 measured |
| LMArena Text: entertainment and media | Not measured | 1438 | Only Muse Spark 1.1 measured |
| LMArena Vision: English | Not measured | 1292 | Only Muse Spark 1.1 measured |
| LMArena Vision: Chinese | Not measured | 1348 | Only Muse Spark 1.1 measured |
| LMArena Vision: reading text | Not measured | 1301 | Only Muse Spark 1.1 measured |
| LMArena Vision: humor | Not measured | 1288 | Only Muse Spark 1.1 measured |
| LMArena Vision: creative writing | Not measured | 1253 | Only Muse Spark 1.1 measured |
| LMArena Document | Not measured | 1465 | Only Muse Spark 1.1 measured |
| Neither model has a result on the other 13 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-5.2-Codex | Muse Spark 1.1 | 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 1.1 costs less
Repository review
50K input + 3K output tokens
Muse Spark 1.1 costs less
Agent loop
200K input + 10K output tokens
Muse Spark 1.1 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-5.2-Codex | Meta Muse Spark 1.1 |
|---|---|---|
| Maker | OpenAI | Meta |
| Weights | No public weights listed | No public weights listed |
| Released | January 14, 2026 | July 16, 2026 |
| Context window | 400K | 1.05M |
| Input $/Mtok | $1.75 | $1.25 |
| Output $/Mtok | $14.00 | $4.25 |
| Coding index | 45.4 | 70.3 |
| Independent measurements behind it | 3 | 3 |
| Cost per solved task | $0.43 | $0.43 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-5.2-Codex better than Muse Spark 1.1 for coding?
Pick Muse Spark 1.1 for coding: it scores 70.3 on the Vibe Coding Index against 45.4 for GPT-5.2-Codex. Pick GPT-5.2-Codex for work measured by LiveCodeBench (Vals AI) or Design Arena: agents building Godot games, where it leads.
Which is cheaper, GPT-5.2-Codex or Muse Spark 1.1?
GPT-5.2-Codex costs $1.75 per million input tokens and $14.00 per million output tokens; Muse Spark 1.1 costs $1.25 and $4.25. Per solved SWE-bench Verified task, GPT-5.2-Codex costs $0.43 and Muse Spark 1.1 $0.43.
Which has the bigger context window, GPT-5.2-Codex or Muse Spark 1.1?
Muse Spark 1.1, with 1.05M tokens against 400K.
How many benchmarks is the GPT-5.2-Codex vs Muse Spark 1.1 comparison based on?
15 benchmarks have a result for both models as of October 22, 2026. GPT-5.2-Codex's coding index rests on 3 independent benchmarks and Muse Spark 1.1's on 3. Where only one model has a result, the page says so instead of naming a winner.