GPT-6.1 Terra vs MiMo-V2.6-Flash
GPT-6.1 Terra leads MiMo-V2.6-Flash on coding, 77.4 to 54.8 on the Vibe Coding Index, and MiMo-V2.6-Flash costs 17.9x less per output token ($0.28 vs $5.00 per million). Updated October 29, 2026; 14 benchmarks have a result for both.
GPT-6.1 Terra or MiMo-V2.6-Flash: which to pick
Pick GPT-6.1 Terra for coding: it scores 77.4 on the Vibe Coding Index against 54.8 for MiMo-V2.6-Flash.
Pick MiMo-V2.6-Flash for output tokens 17.9x cheaper ($0.28 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
- 14
- GPT-6.1 Terra only
- 22
- MiMo-V2.6-Flash only
- 52
- 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 54.8.
4 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
GPT-6.1 Terra
GPT-6.1 Terra leads, 51.0 against 26.7.
Same board, both measured
Web design
Design Arena: websites
No call
Only GPT-6.1 Terra has a Design Arena: websites result, 1283.
Directional only
General
Vals Index
GPT-6.1 Terra
GPT-6.1 Terra leads, 60.5% against 54.8%.
Same board, both measured
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-Flash
GPT-6.1 Terra $0.0035, MiMo-V2.6-Flash $0.0003 per turn.
List prices
At a glance
- Coding index
- GPT-6.1 Terra 77.4 from 4 benchmarks, MiMo-V2.6-Flash 54.8 from 3 benchmarks.
- Widest category
- Intelligence, 24.3 points apart on average over 1 shared benchmark.
- Widest single gap
- ALE-Bench: GPT-6.1 Terra 2608.8 against MiMo-V2.6-Flash 1244.2, 45.5 points apart on a 0 to 100 scale.
- Output price
- GPT-6.1 Terra $5.00 against MiMo-V2.6-Flash $0.28 per million output tokens, 17.9x 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-6.1 Terra | Bars | MiMo-V2.6-Flash | Ties |
|---|---|---|---|---|
| Coding | 7 | 0 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 0 | 3 | ||
| Reasoning | 1 | 0 | ||
| General | 2 | 0 | ||
| All shared boards | 11 | 3 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index70
| Benchmark | GPT-6.1 Terra | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| LiveBench coding | 94.3% | Not measured | Only GPT-6.1 Terra measured |
| LMArena WebDev | 1673 | 1637 | GPT-6.1 Terra |
| Terminal-Bench 4 (Vals AI) | 49.5% | 24.2% | GPT-6.1 Terra |
| Vibe Code Bench (Vals AI) | 84.0% | 79.0% | GPT-6.1 Terra |
| Code migration (Vals AI) | Not measured | 40.9% | Only MiMo-V2.6-Flash measured |
| ProgramBench (Vals AI) | Not measured | 0.5% | Only MiMo-V2.6-Flash measured |
| IOI (Vals AI) | Not measured | 47.7% | Only MiMo-V2.6-Flash measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 76.4% | Only MiMo-V2.6-Flash measured |
| CyberBench (Vals AI) | Not measured | 75.4% | Only MiMo-V2.6-Flash measured |
| SciCode | 55.1% | 51.3% | GPT-6.1 Terra |
| ALE-Bench | 2608.8 | 1244.2 | GPT-6.1 Terra |
| LMArena Text: coding | Not measured | 1498 | Only MiMo-V2.6-Flash measured |
| LMArena Text: software and IT | Not measured | 1495 | Only MiMo-V2.6-Flash measured |
| LMArena WebDev: React | 1657 | 1651 | GPT-6.1 Terra |
| LMArena WebDev: HTML | 1719 | 1638 | GPT-6.1 Terra |
| LMArena WebDev: from an image | Not measured | 1596 | Only MiMo-V2.6-Flash measured |
| Neither model has a result on the other 27 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | GPT-6.1 Terra | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| AA Intelligence Index | 51.0 | 26.7 | GPT-6.1 Terra |
| Neither model has a result on the other 1 board here | |||
Agentic workLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | GPT-6.1 Terra | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| 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 |
| SREBench (Vals AI) | Not measured | 4.2% | Only MiMo-V2.6-Flash measured |
| Finance Agent (Vals AI) | Not measured | 56.3% | Only MiMo-V2.6-Flash measured |
| Tax Agent Bench (Vals AI) | 15.2% | 28.5% | MiMo-V2.6-Flash |
| Legal Research Bench (Vals AI) | 26.0% | 38.0% | MiMo-V2.6-Flash |
| Harvey's Legal Agent Benchmark (Vals AI) | 1.7% | 13.3% | MiMo-V2.6-Flash |
| Excel Modeling Benchmark (Vals AI) | Not measured | 65.5% | Only MiMo-V2.6-Flash measured |
| BioMysteryBench (Vals AI) | Not measured | 69.3% | Only MiMo-V2.6-Flash measured |
| Terminal-Bench-Science (Vals AI) | Not measured | 4.3% | Only MiMo-V2.6-Flash measured |
| Vals Science Index | Not measured | 31.7% | Only MiMo-V2.6-Flash measured |
| APEX-Agents | 68.3% | Not measured | Only GPT-6.1 Terra measured |
| Neither model has a result on the other 29 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | GPT-6.1 Terra | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| LiveBench reasoning | 88.7% | Not measured | Only GPT-6.1 Terra measured |
| MysteryMechanism (Vals AI) | Not measured | 21.6% | Only MiMo-V2.6-Flash measured |
| Humanity's Last Exam (Artificial Analysis run) | 46.2% | 35.1% | GPT-6.1 Terra |
| 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 | 1473 | Only MiMo-V2.6-Flash measured |
| LMArena Text: expert | Not measured | 1497 | Only MiMo-V2.6-Flash measured |
| LMArena Text: hard prompts in English | Not measured | 1490 | Only MiMo-V2.6-Flash measured |
| LMArena Vision: diagrams | Not measured | 1276 | Only MiMo-V2.6-Flash measured |
| LMArena Vision: homework | Not measured | 1283 | Only MiMo-V2.6-Flash 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 11 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | GPT-6.1 Terra | MiMo-V2.6-Flash | 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 | 63.0% | Only MiMo-V2.6-Flash measured |
| LMArena Text: math | Not measured | 1468 | Only MiMo-V2.6-Flash measured |
| LMArena Text: mathematical work | Not measured | 1479 | Only MiMo-V2.6-Flash measured |
| Neither model has a result on the other 8 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | GPT-6.1 Terra | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| MedCode (Vals AI) | Not measured | 41.1% | Only MiMo-V2.6-Flash measured |
| SimpleQA Verified | 57.3% | Not measured | Only GPT-6.1 Terra measured |
| LMArena Text: science | Not measured | 1460 | Only MiMo-V2.6-Flash measured |
| LMArena Text: medicine and healthcare | Not measured | 1445 | Only MiMo-V2.6-Flash measured |
| LMArena Text: legal and government | Not measured | 1447 | Only MiMo-V2.6-Flash measured |
| LMArena Text: business and finance | Not measured | 1450 | Only MiMo-V2.6-Flash measured |
| Neither model has a result on the other 14 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
| Benchmark | GPT-6.1 Terra | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| Design Arena: websites | 1283 | Not measured | Only GPT-6.1 Terra measured |
| Design Arena: UI components | 1277 | Not measured | Only GPT-6.1 Terra measured |
| Design Arena: game dev | 1348 | Not measured | Only GPT-6.1 Terra measured |
| Design Arena: all code categories | 1295 | Not measured | Only GPT-6.1 Terra measured |
| LiveBench design | 82.3% | Not measured | Only GPT-6.1 Terra measured |
| Neither model has a result on the other 4 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | GPT-6.1 Terra | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| Vals Index | 60.5% | 54.8% | GPT-6.1 Terra |
| LiveBench data analysis | 82.3% | Not measured | Only GPT-6.1 Terra measured |
| Public Benefits Bench (Vals AI) | Not measured | 67.6% | Only MiMo-V2.6-Flash measured |
| SAGE (Vals AI) | Not measured | 83.3% | Only MiMo-V2.6-Flash measured |
| MedScribe (Vals AI) | Not measured | 85.3% | Only MiMo-V2.6-Flash measured |
| Long context reasoning (AA-LCR) | 82.7% | 74.3% | GPT-6.1 Terra |
| Furniture assembly | 79.2% | Not measured | Only GPT-6.1 Terra measured |
| LMArena Text | Not measured | 1451 | Only MiMo-V2.6-Flash measured |
| LMArena Text: instruction following | Not measured | 1449 | Only MiMo-V2.6-Flash measured |
| LMArena Text: creative writing | Not measured | 1405 | Only MiMo-V2.6-Flash measured |
| LMArena Vision | Not measured | 1256 | Only MiMo-V2.6-Flash measured |
| LMArena Text: English | Not measured | 1473 | Only MiMo-V2.6-Flash measured |
| LMArena Text: non-English | Not measured | 1431 | Only MiMo-V2.6-Flash measured |
| LMArena Text: Chinese | Not measured | 1509 | Only MiMo-V2.6-Flash measured |
| LMArena Text: German | Not measured | 1463 | Only MiMo-V2.6-Flash measured |
| LMArena Text: Japanese | Not measured | 1357 | Only MiMo-V2.6-Flash measured |
| LMArena Text: Korean | Not measured | 1432 | Only MiMo-V2.6-Flash measured |
| LMArena Text: French | Not measured | 1480 | Only MiMo-V2.6-Flash measured |
| LMArena Text: Spanish | Not measured | 1458 | Only MiMo-V2.6-Flash measured |
| LMArena Text: Russian | Not measured | 1411 | Only MiMo-V2.6-Flash measured |
| LMArena Text: Polish | Not measured | 1444 | Only MiMo-V2.6-Flash measured |
| LMArena Text: multi-turn | Not measured | 1444 | Only MiMo-V2.6-Flash measured |
| LMArena Text: longer queries | Not measured | 1459 | Only MiMo-V2.6-Flash measured |
| LMArena Text: writing and language | Not measured | 1423 | Only MiMo-V2.6-Flash measured |
| LMArena Text: entertainment and media | Not measured | 1413 | Only MiMo-V2.6-Flash measured |
| LMArena Vision: English | Not measured | 1269 | Only MiMo-V2.6-Flash measured |
| LMArena Vision: reading text | Not measured | 1270 | Only MiMo-V2.6-Flash measured |
| LMArena Vision: creative writing | Not measured | 1231 | Only MiMo-V2.6-Flash measured |
| MultiChallenge | 74.2% | Not measured | Only GPT-6.1 Terra measured |
| Neither model has a result on the other 19 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-6.1 Terra | MiMo-V2.6-Flash | 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-Flash costs less
Repository review
50K input + 3K output tokens
MiMo-V2.6-Flash costs less
Agent loop
200K input + 10K output tokens
MiMo-V2.6-Flash 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 | Xiaomi MiMo-V2.6-Flash |
|---|---|---|
| Maker | OpenAI | Xiaomi |
| Weights | No public weights listed | Open weights |
| Released | October 26, 2026 | September 21, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $1.00 | $0.14 |
| Output $/Mtok | $5.00 | $0.28 |
| Coding index | 77.4 | 54.8 |
| 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 MiMo-V2.6-Flash for coding?
Pick GPT-6.1 Terra for coding: it scores 77.4 on the Vibe Coding Index against 54.8 for MiMo-V2.6-Flash. Pick MiMo-V2.6-Flash for output tokens 17.9x cheaper ($0.28 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 MiMo-V2.6-Flash?
GPT-6.1 Terra costs $1.00 per million input tokens and $5.00 per million output tokens; MiMo-V2.6-Flash costs $0.14 and $0.28. Cost per solved task is known for neither of them.
Which has the bigger context window, GPT-6.1 Terra or MiMo-V2.6-Flash?
Neither: both take 1.05M tokens.
How many benchmarks is the GPT-6.1 Terra vs MiMo-V2.6-Flash comparison based on?
14 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 MiMo-V2.6-Flash's on 3. Where only one model has a result, the page says so instead of naming a winner.