GPT-5.6 Terra vs MiMo-V2.6-Pro
MiMo-V2.6-Pro leads GPT-5.6 Terra on coding, 65.4 to 63.9 on the Vibe Coding Index, and MiMo-V2.6-Pro costs 13.8x less per output token ($0.87 vs $12.00 per million). Updated October 22, 2026; 69 benchmarks have a result for both.
GPT-5.6 Terra or MiMo-V2.6-Pro: which to pick
GPT-5.6 Terra and MiMo-V2.6-Pro are level for coding, 63.9 against 65.4 on the Vibe Coding Index, so price and context decide.
Pick GPT-5.6 Terra for work measured by LiveBench coding or Code migration (Vals AI), where it leads. Pick MiMo-V2.6-Pro for output tokens 13.8x cheaper ($0.87 vs $12.00 per million) and work measured by LMArena WebDev or Terminal-Bench 4 (Vals AI), where it leads.
- Shared results
- 69
- GPT-5.6 Terra only
- 60
- MiMo-V2.6-Pro only
- 4
- Like-for-like categories
- 8 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
No call
Level: 63.9 against 65.4, inside 2 points.
6 and 4 benchmarks behind the scores
Intelligence
AA Intelligence Index
MiMo-V2.6-Pro
MiMo-V2.6-Pro leads, 46.3 against 42.1.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only GPT-5.6 Terra has a AA Agentic Index result, 43.2.
Directional only
Reasoning
GPQA Diamond
No call
Only GPT-5.6 Terra has a GPQA Diamond result, 90.9%.
Directional only
Knowledge
MMLU Pro
No call
Only GPT-5.6 Terra has a MMLU Pro result, 86.7%.
Directional only
Web design
Design Arena: websites
MiMo-V2.6-Pro
MiMo-V2.6-Pro leads, 1307 against 1268.
Same board, both measured
General
Vals Index
No call
Only MiMo-V2.6-Pro has a Vals Index result, 57.8%.
Directional only
Long documents
Listed context window
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiMo-V2.6-Pro
GPT-5.6 Terra $0.0080, MiMo-V2.6-Pro $0.0009 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only GPT-5.6 Terra has the number, $0.42.
Directional only
At a glance
- Coding index
- GPT-5.6 Terra 63.9 from 6 benchmarks, MiMo-V2.6-Pro 65.4 from 4 benchmarks.
- Widest category
- Coding, 11.9 points apart on average over 16 shared benchmarks.
- Widest single gap
- IOI (Vals AI): GPT-5.6 Terra 87.6% against MiMo-V2.6-Pro 39.3%, 48.3 points apart on a 0 to 100 scale.
- Output price
- GPT-5.6 Terra $12.00 against MiMo-V2.6-Pro $0.87 per million output tokens, 13.8x apart.
- Context window
- Both take 1.05M tokens.
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-5.6 Terra | Bars | MiMo-V2.6-Pro | Ties |
|---|---|---|---|---|
| Coding | 5 | 10 | 1 tie | |
| Intelligence | 0 | 1 | ||
| Agentic work | 5 | 6 | ||
| Reasoning | 3 | 4 | ||
| Math | 1 | 2 | ||
| Knowledge | 0 | 5 | ||
| Web design | 0 | 7 | ||
| General | 5 | 14 | ||
| All shared boards | 19 | 49 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index510
| Benchmark | GPT-5.6 Terra | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| LiveBench coding | 86.2% | 81.5% | GPT-5.6 Terra |
| LMArena WebDev | 1522 | 1625 | MiMo-V2.6-Pro |
| AA Coding Index | 76.7 | Not measured | Only GPT-5.6 Terra measured |
| LiveCodeBench (Vals AI) | 85.9% | Not measured | Only GPT-5.6 Terra measured |
| SWE-bench Verified (Vals AI) | 95.4% | Not measured | Only GPT-5.6 Terra measured |
| Terminal-Bench 4 (Vals AI) | 22.7% | 31.3% | MiMo-V2.6-Pro |
| Vibe Code Bench (Vals AI) | 74.6% | 85.2% | MiMo-V2.6-Pro |
| Code migration (Vals AI) | 47.8% | 43.0% | GPT-5.6 Terra |
| ProgramBench (Vals AI) | 0.5% | 0.5% | Tie |
| IOI (Vals AI) | 87.6% | 39.3% | GPT-5.6 Terra |
| Terminal-Bench 2.1 (Vals AI) | 77.5% | 67.8% | GPT-5.6 Terra |
| SWE-bench Multimodal (Vals AI) | Not measured | 41.3% | Only MiMo-V2.6-Pro measured |
| Vibe Code Bench 1-100 (Vals AI) | 14.8% | Not measured | Only GPT-5.6 Terra measured |
| SkillsBench (Vals AI) | 58.9% | Not measured | Only GPT-5.6 Terra measured |
| CyberBench (Vals AI) | 72.1% | 72.9% | MiMo-V2.6-Pro |
| SciCode | 55.0% | 60.9% | MiMo-V2.6-Pro |
| Terminal-Bench Hard (Artificial Analysis run) | 62.9% | Not measured | Only GPT-5.6 Terra measured |
| FrontierCode | 41.3% | Not measured | Only GPT-5.6 Terra measured |
| WeirdML | 78.3% | Not measured | Only GPT-5.6 Terra measured |
| ALE-Bench | 1951.4 | 1158.1 | GPT-5.6 Terra |
| LMArena Text: coding | 1485 | 1533 | MiMo-V2.6-Pro |
| LMArena Text: software and IT | 1482 | 1528 | MiMo-V2.6-Pro |
| LMArena WebDev: React | 1513 | 1639 | MiMo-V2.6-Pro |
| LMArena WebDev: HTML | 1526 | 1616 | MiMo-V2.6-Pro |
| LMArena WebDev: from an image | 1541 | 1598 | MiMo-V2.6-Pro |
| SciCode | 10.8% | Not measured | Only GPT-5.6 Terra measured |
| SWE-Bench Pro V2 | 92.4% | Not measured | Only GPT-5.6 Terra measured |
| Neither model has a result on the other 16 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | GPT-5.6 Terra | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| AA Intelligence Index | 42.1 | 46.3 | MiMo-V2.6-Pro |
| Epoch Capabilities Index | 160.1 | Not measured | Only GPT-5.6 Terra measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index56
| Benchmark | GPT-5.6 Terra | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| AA Agentic Index | 43.2 | Not measured | Only GPT-5.6 Terra measured |
| Design Arena: agents building web apps | 1120 | 1290 | MiMo-V2.6-Pro |
| Design Arena: agents building full-stack apps | 1061 | Not measured | Only GPT-5.6 Terra measured |
| Design Arena: agents building mobile apps | 1110 | Not measured | Only GPT-5.6 Terra measured |
| Design Arena: agents building Android apps | 1060 | Not measured | Only GPT-5.6 Terra measured |
| Design Arena: agents building games | 1083 | Not measured | Only GPT-5.6 Terra measured |
| Design Arena: HTML slides | 1047 | Not measured | Only GPT-5.6 Terra measured |
| Design Arena: PowerPoint slides | 1104 | Not measured | Only GPT-5.6 Terra measured |
| LiveBench research | 60.4% | 76.7% | MiMo-V2.6-Pro |
| LiveBench browser | 84.0% | 88.0% | MiMo-V2.6-Pro |
| LiveBench long agentic | 48.4% | 47.5% | GPT-5.6 Terra |
| SREBench (Vals AI) | 9.5% | 3.0% | GPT-5.6 Terra |
| Finance Agent (Vals AI) | 54.4% | 57.3% | MiMo-V2.6-Pro |
| Tax Agent Bench (Vals AI) | 30.0% | 32.4% | MiMo-V2.6-Pro |
| Legal Research Bench (Vals AI) | 41.4% | 47.1% | MiMo-V2.6-Pro |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 13.8% | Only MiMo-V2.6-Pro measured |
| Excel Modeling Benchmark (Vals AI) | 66.2% | 62.9% | GPT-5.6 Terra |
| Terminal-Bench-Science (Vals AI) | 10.0% | 2.9% | GPT-5.6 Terra |
| τ²-Bench Telecom | 86.3% | Not measured | Only GPT-5.6 Terra measured |
| APEX-Agents | 58.2% | 54.4% | GPT-5.6 Terra |
| BALROG | 53.2% | Not measured | Only GPT-5.6 Terra measured |
| Vending-Bench 2 | $7,343 | Not measured | Only GPT-5.6 Terra measured |
| Neither model has a result on the other 20 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index34
| Benchmark | GPT-5.6 Terra | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| GPQA Diamond | 90.9% | Not measured | Only GPT-5.6 Terra measured |
| LiveBench reasoning | 90.6% | 79.6% | GPT-5.6 Terra |
| MysteryMechanism (Vals AI) | Not measured | 15.3% | Only MiMo-V2.6-Pro measured |
| MMMU Pro (Vals AI) | 86.5% | Not measured | Only GPT-5.6 Terra measured |
| GPQA Diamond (Artificial Analysis run) | 92.5% | Not measured | Only GPT-5.6 Terra measured |
| Humanity's Last Exam (Artificial Analysis run) | 42.9% | 49.4% | MiMo-V2.6-Pro |
| GPQA Diamond (Epoch AI run) | 93.3% | Not measured | Only GPT-5.6 Terra measured |
| ARC-AGI | 96.5% | Not measured | Only GPT-5.6 Terra measured |
| ARC-AGI-2 | 83.9% | Not measured | Only GPT-5.6 Terra measured |
| SimpleBench | 48.9% | Not measured | Only GPT-5.6 Terra measured |
| Chess puzzles | 47.0% | Not measured | Only GPT-5.6 Terra measured |
| Mystery game puzzles | 35.0% | Not measured | Only GPT-5.6 Terra measured |
| LMArena Text: hard prompts | 1469 | 1511 | MiMo-V2.6-Pro |
| LMArena Text: expert | 1496 | 1541 | MiMo-V2.6-Pro |
| LMArena Text: hard prompts in English | 1465 | 1520 | MiMo-V2.6-Pro |
| LMArena Vision: diagrams | 1295 | 1281 | GPT-5.6 Terra |
| LMArena Vision: homework | 1312 | 1264 | GPT-5.6 Terra |
| Kagi LLM Benchmark | 51.3% | Not measured | Only GPT-5.6 Terra measured |
| Neither model has a result on the other 5 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index12
| Benchmark | GPT-5.6 Terra | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| OTIS Mock AIME | 99.7% | Not measured | Only GPT-5.6 Terra measured |
| FrontierMath, tiers 1 to 3 | 86.0% | Not measured | Only GPT-5.6 Terra measured |
| FrontierMath, tier 4 | 70.7% | Not measured | Only GPT-5.6 Terra measured |
| ProofBench | 74.0% | 70.0% | GPT-5.6 Terra |
| LMArena Text: math | 1465 | 1500 | MiMo-V2.6-Pro |
| LMArena Text: mathematical work | 1478 | 1511 | MiMo-V2.6-Pro |
| Neither model has a result on the other 8 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | GPT-5.6 Terra | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| MMLU Pro | 86.7% | Not measured | Only GPT-5.6 Terra measured |
| LegalBench (Vals AI) | 85.1% | Not measured | Only GPT-5.6 Terra measured |
| CorpFin (Vals AI) | 65.3% | Not measured | Only GPT-5.6 Terra measured |
| TaxEval (Vals AI) | 76.2% | Not measured | Only GPT-5.6 Terra measured |
| MortgageTax (Vals AI) | 67.3% | Not measured | Only GPT-5.6 Terra measured |
| MedCode (Vals AI) | 43.4% | 45.0% | MiMo-V2.6-Pro |
| SimpleQA Verified | 43.2% | Not measured | Only GPT-5.6 Terra measured |
| LMArena Text: science | 1452 | 1506 | MiMo-V2.6-Pro |
| LMArena Text: medicine and healthcare | 1430 | 1497 | MiMo-V2.6-Pro |
| LMArena Text: legal and government | 1461 | 1485 | MiMo-V2.6-Pro |
| LMArena Text: business and finance | 1448 | 1468 | MiMo-V2.6-Pro |
| FACTS Benchmark Suite | 52.0% | Not measured | Only GPT-5.6 Terra measured |
| Neither model has a result on the other 8 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index07
| Benchmark | GPT-5.6 Terra | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| Design Arena: websites | 1268 | 1307 | MiMo-V2.6-Pro |
| Design Arena: UI components | 1256 | 1337 | MiMo-V2.6-Pro |
| Design Arena: game dev | 1229 | 1313 | MiMo-V2.6-Pro |
| Design Arena: data viz | 1240 | 1337 | MiMo-V2.6-Pro |
| Design Arena: 3D | 1134 | 1329 | MiMo-V2.6-Pro |
| Design Arena: all code categories | 1240 | 1316 | MiMo-V2.6-Pro |
| Design Arena: SVG | 1219 | Not measured | Only GPT-5.6 Terra measured |
| Design Arena: ASCII art | 1178 | Not measured | Only GPT-5.6 Terra measured |
| LiveBench design | 76.0% | 78.5% | MiMo-V2.6-Pro |
GeneralLike-for-likePublic boards, shown as published, kept out of the index514
| Benchmark | GPT-5.6 Terra | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| Vals Index | Not measured | 57.8% | Only MiMo-V2.6-Pro measured |
| LiveBench data analysis | 79.3% | 72.3% | GPT-5.6 Terra |
| Public Benefits Bench (Vals AI) | 62.4% | 68.9% | MiMo-V2.6-Pro |
| SAGE (Vals AI) | 47.0% | 45.0% | GPT-5.6 Terra |
| MedScribe (Vals AI) | 82.9% | 88.3% | MiMo-V2.6-Pro |
| Vals Multimodal Index | 65.1% | Not measured | Only GPT-5.6 Terra measured |
| IFBench | 71.2% | Not measured | Only GPT-5.6 Terra measured |
| Long context reasoning (AA-LCR) | 83.0% | 86.3% | MiMo-V2.6-Pro |
| DTBench | 93.3% | Not measured | Only GPT-5.6 Terra measured |
| LMCA | 54.9% | Not measured | Only GPT-5.6 Terra measured |
| Surface Evolver Bench | 83.8% | Not measured | Only GPT-5.6 Terra measured |
| Furniture assembly | 54.2% | Not measured | Only GPT-5.6 Terra measured |
| LMArena Text | 1448 | 1491 | MiMo-V2.6-Pro |
| LMArena Text: instruction following | 1456 | 1491 | MiMo-V2.6-Pro |
| LMArena Text: creative writing | 1413 | 1466 | MiMo-V2.6-Pro |
| LMArena Vision | 1271 | 1263 | GPT-5.6 Terra |
| LMArena Text: English | 1449 | 1504 | MiMo-V2.6-Pro |
| LMArena Text: non-English | 1441 | 1474 | MiMo-V2.6-Pro |
| LMArena Text: Chinese | 1514 | 1529 | MiMo-V2.6-Pro |
| LMArena Text: German | 1460 | Not measured | Only GPT-5.6 Terra measured |
| LMArena Text: Japanese | 1454 | Not measured | Only GPT-5.6 Terra measured |
| LMArena Text: Korean | 1427 | Not measured | Only GPT-5.6 Terra measured |
| LMArena Text: French | 1466 | Not measured | Only GPT-5.6 Terra measured |
| LMArena Text: Spanish | 1451 | Not measured | Only GPT-5.6 Terra measured |
| LMArena Text: Russian | 1452 | 1479 | MiMo-V2.6-Pro |
| LMArena Text: Polish | 1446 | Not measured | Only GPT-5.6 Terra measured |
| LMArena Text: multi-turn | 1453 | 1466 | MiMo-V2.6-Pro |
| LMArena Text: longer queries | 1454 | 1501 | MiMo-V2.6-Pro |
| LMArena Text: writing and language | 1431 | 1470 | MiMo-V2.6-Pro |
| LMArena Text: entertainment and media | 1418 | 1465 | MiMo-V2.6-Pro |
| LMArena Vision: English | 1272 | 1268 | GPT-5.6 Terra |
| LMArena Vision: Chinese | 1337 | Not measured | Only GPT-5.6 Terra measured |
| LMArena Vision: reading text | 1278 | 1270 | GPT-5.6 Terra |
| LMArena Vision: humor | 1236 | Not measured | Only GPT-5.6 Terra measured |
| LMArena Vision: creative writing | 1248 | Not measured | Only GPT-5.6 Terra measured |
| LMArena Document | 1472 | Not measured | Only GPT-5.6 Terra measured |
| EQ-Bench 4 | 1234 | Not measured | Only GPT-5.6 Terra measured |
| Neither model has a result on the other 11 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-5.6 Terra | MiMo-V2.6-Pro | 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
MiMo-V2.6-Pro costs less
Repository review
50K input + 3K output tokens
MiMo-V2.6-Pro costs less
Agent loop
200K input + 10K output tokens
MiMo-V2.6-Pro 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-5.6 Terra | Xiaomi MiMo-V2.6-Pro |
|---|---|---|
| Maker | OpenAI | Xiaomi |
| Weights | No public weights listed | Open weights |
| Released | July 9, 2026 | September 21, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $2.00 | $0.435 |
| Output $/Mtok | $12.00 | $0.87 |
| Coding index | 63.9 | 65.4 |
| Independent measurements behind it | 6 | 4 |
| Cost per solved task | $0.42 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-5.6 Terra better than MiMo-V2.6-Pro for coding?
GPT-5.6 Terra and MiMo-V2.6-Pro are level for coding, 63.9 against 65.4 on the Vibe Coding Index, so price and context decide. Pick GPT-5.6 Terra for work measured by LiveBench coding or Code migration (Vals AI), where it leads. Pick MiMo-V2.6-Pro for output tokens 13.8x cheaper ($0.87 vs $12.00 per million) and work measured by LMArena WebDev or Terminal-Bench 4 (Vals AI), where it leads.
Which is cheaper, GPT-5.6 Terra or MiMo-V2.6-Pro?
GPT-5.6 Terra costs $2.00 per million input tokens and $12.00 per million output tokens; MiMo-V2.6-Pro costs $0.435 and $0.87. Cost per solved task is known for GPT-5.6 Terra only.
Which has the bigger context window, GPT-5.6 Terra or MiMo-V2.6-Pro?
Neither: both take 1.05M tokens.
How many benchmarks is the GPT-5.6 Terra vs MiMo-V2.6-Pro comparison based on?
69 benchmarks have a result for both models as of October 22, 2026. GPT-5.6 Terra's coding index rests on 6 independent benchmarks and MiMo-V2.6-Pro's on 4. Where only one model has a result, the page says so instead of naming a winner.