GPT-5.6 Terra vs MiMo-V2.5

GPT-5.6 Terra leads MiMo-V2.5 on coding, 63.9 to 50.0 on the Vibe Coding Index, and MiMo-V2.5 costs 35.7x less per output token ($0.336 vs $12.00 per million). Updated October 22, 2026; 79 benchmarks have a result for both.

Replace GPT-5.6 Terra Replace MiMo-V2.5

GPT-5.6 TerraOpenAI

Coding: 63.9
Overall: 68.1
Output $/M: $12.00

MiMo-V2.5Xiaomi

Coding: 50.0
Overall: 50.7
Output $/M: $0.336

vs boards won of 79 shared

GPT-5.6 Terra or MiMo-V2.5: which to pick

Pick GPT-5.6 Terra for coding: it scores 63.9 on the Vibe Coding Index against 50.0 for MiMo-V2.5.

Pick MiMo-V2.5 for output tokens 35.7x cheaper ($0.336 vs $12.00 per million) and a lower cost per solved task ($0.01 against $0.42).

Model AGPT-5.6 TerraOpenAI63.9/1006 independent benchmarks$0.42 per solved task Model BMiMo-V2.5Xiaomi50.0/1003 independent benchmarks$0.01 per solved task

79481

Shared results: 79
GPT-5.6 Terra only: 48
MiMo-V2.5 only: 1
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
GPT-5.6 Terra
GPT-5.6 Terra scores 63.9 against 50.0.
6 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
GPT-5.6 Terra
GPT-5.6 Terra leads, 42.1 against 21.8.
Same board, both measured
Agentic work
AA Agentic Index
GPT-5.6 Terra
GPT-5.6 Terra leads, 43.2 against 15.8.
Same board, both measured
Reasoning
GPQA Diamond
GPT-5.6 Terra
GPT-5.6 Terra leads, 90.9% against 81.6%.
Same board, both measured
Knowledge
MMLU Pro
GPT-5.6 Terra
GPT-5.6 Terra leads, 86.7% against 82.9%.
Same board, both measured
Web design
Design Arena: websites
GPT-5.6 Terra
GPT-5.6 Terra leads, 1268 against 1265.
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-V2.5
GPT-5.6 Terra $0.0080, MiMo-V2.5 $0.0003 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
MiMo-V2.5
GPT-5.6 Terra $0.42, MiMo-V2.5 $0.01.
Published attempt cost and pass rate

At a glance

Coding index: GPT-5.6 Terra 63.9 from 6 benchmarks, MiMo-V2.5 50.0 from 3 benchmarks.
Widest category: Math, 22.5 points apart on average over 3 shared benchmarks.
Widest single gap: ProofBench: GPT-5.6 Terra 74.0% against MiMo-V2.5 16.0%, 58.0 points apart on a 0 to 100 scale.
Output price: GPT-5.6 Terra $12.00 against MiMo-V2.5 $0.336 per million output tokens, 35.7x 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.

Boards won, where both have a result
Category	GPT-5.6 Terra	MiMo-V2.5
Coding	14	0
Intelligence	1	0
Agentic work	5	1
Reasoning	9	0
Math	3	0
Knowledge	9	1
Web design	4	4
General	28	0
All shared boards	73	6

CodingLike-for-likeSix of these boards feed the Vibe Coding Index140

Coding benchmarks for GPT-5.6 Terra and MiMo-V2.5
Benchmark	GPT-5.6 Terra	MiMo-V2.5	Leader
LiveBench coding	86.2%	Not measured	Only GPT-5.6 Terra measured
LMArena WebDev	1522	1438	GPT-5.6 Terra
AA Coding Index	76.7	56.8	GPT-5.6 Terra
LiveCodeBench (Vals AI)	85.9%	81.5%	GPT-5.6 Terra
SWE-bench Verified (Vals AI)	95.4%	71.0%	GPT-5.6 Terra
Terminal-Bench 4 (Vals AI)	22.7%	Not measured	Only GPT-5.6 Terra measured
Vibe Code Bench (Vals AI)	74.6%	42.2%	GPT-5.6 Terra
Code migration (Vals AI)	47.8%	14.2%	GPT-5.6 Terra
ProgramBench (Vals AI)	0.5%	Not measured	Only GPT-5.6 Terra measured
IOI (Vals AI)	87.6%	Not measured	Only GPT-5.6 Terra measured
Terminal-Bench 2.1 (Vals AI)	77.5%	60.7%	GPT-5.6 Terra
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%	Not measured	Only GPT-5.6 Terra measured
SciCode	55.0%	43.9%	GPT-5.6 Terra
Terminal-Bench Hard (Artificial Analysis run)	62.9%	41.7%	GPT-5.6 Terra
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	514.0	GPT-5.6 Terra
LMArena Text: coding	1485	1469	GPT-5.6 Terra
LMArena Text: software and IT	1482	1463	GPT-5.6 Terra
LMArena WebDev: React	1513	1425	GPT-5.6 Terra
LMArena WebDev: HTML	1526	1429	GPT-5.6 Terra
LMArena WebDev: from an image	1541	Not measured	Only GPT-5.6 Terra measured
SciCode	10.8%	Not measured	Only GPT-5.6 Terra measured
Neither model has a result on the other 14 boards here

IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10

Intelligence benchmarks for GPT-5.6 Terra and MiMo-V2.5
Benchmark	GPT-5.6 Terra	MiMo-V2.5	Leader
AA Intelligence Index	42.1	21.8	GPT-5.6 Terra
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 index51

Agentic work benchmarks for GPT-5.6 Terra and MiMo-V2.5
Benchmark	GPT-5.6 Terra	MiMo-V2.5	Leader
AA Agentic Index	43.2	15.8	GPT-5.6 Terra
Design Arena: agents building web apps	1120	Not measured	Only GPT-5.6 Terra measured
Design Arena: agents building full-stack apps	1061	Not measured	Only GPT-5.6 Terra measured
Design Arena: agents building mobile apps	1111	Not measured	Only GPT-5.6 Terra measured
Design Arena: agents building Android apps	1062	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	1058	Not measured	Only GPT-5.6 Terra measured
Design Arena: PowerPoint slides	1105	Not measured	Only GPT-5.6 Terra measured
LiveBench research	60.4%	Not measured	Only GPT-5.6 Terra measured
LiveBench browser	84.0%	Not measured	Only GPT-5.6 Terra measured
LiveBench long agentic	48.4%	Not measured	Only GPT-5.6 Terra measured
SREBench (Vals AI)	9.5%	Not measured	Only GPT-5.6 Terra measured
Finance Agent (Vals AI)	54.4%	36.7%	GPT-5.6 Terra
Tax Agent Bench (Vals AI)	30.0%	7.8%	GPT-5.6 Terra
Legal Research Bench (Vals AI)	41.4%	9.1%	GPT-5.6 Terra
Excel Modeling Benchmark (Vals AI)	66.2%	55.1%	GPT-5.6 Terra
Terminal-Bench-Science (Vals AI)	10.0%	Not measured	Only GPT-5.6 Terra measured
τ²-Bench Telecom	86.3%	90.6%	MiMo-V2.5
APEX-Agents	58.2%	Not measured	Only GPT-5.6 Terra measured
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 index90

Reasoning benchmarks for GPT-5.6 Terra and MiMo-V2.5
Benchmark	GPT-5.6 Terra	MiMo-V2.5	Leader
GPQA Diamond	90.9%	81.6%	GPT-5.6 Terra
LiveBench reasoning	90.6%	Not measured	Only GPT-5.6 Terra measured
MMMU Pro (Vals AI)	86.5%	80.0%	GPT-5.6 Terra
GPQA Diamond (Artificial Analysis run)	92.5%	84.9%	GPT-5.6 Terra
Humanity's Last Exam (Artificial Analysis run)	42.9%	27.2%	GPT-5.6 Terra
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	1450	GPT-5.6 Terra
LMArena Text: expert	1496	1459	GPT-5.6 Terra
LMArena Text: hard prompts in English	1465	1461	GPT-5.6 Terra
LMArena Vision: diagrams	1295	1269	GPT-5.6 Terra
LMArena Vision: homework	1312	1262	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 index30

Math benchmarks for GPT-5.6 Terra and MiMo-V2.5
Benchmark	GPT-5.6 Terra	MiMo-V2.5	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%	16.0%	GPT-5.6 Terra
LMArena Text: math	1465	1436	GPT-5.6 Terra
LMArena Text: mathematical work	1478	1451	GPT-5.6 Terra
Neither model has a result on the other 7 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index91

Knowledge benchmarks for GPT-5.6 Terra and MiMo-V2.5
Benchmark	GPT-5.6 Terra	MiMo-V2.5	Leader
MMLU Pro	86.7%	82.9%	GPT-5.6 Terra
LegalBench (Vals AI)	85.1%	78.9%	GPT-5.6 Terra
CorpFin (Vals AI)	65.3%	59.9%	GPT-5.6 Terra
TaxEval (Vals AI)	76.2%	71.8%	GPT-5.6 Terra
MortgageTax (Vals AI)	67.3%	59.3%	GPT-5.6 Terra
MedCode (Vals AI)	43.4%	31.9%	GPT-5.6 Terra
SimpleQA Verified	43.2%	Not measured	Only GPT-5.6 Terra measured
LMArena Text: science	1452	1440	GPT-5.6 Terra
LMArena Text: medicine and healthcare	1430	1432	MiMo-V2.5
LMArena Text: legal and government	1461	1425	GPT-5.6 Terra
LMArena Text: business and finance	1448	1432	GPT-5.6 Terra
FACTS Benchmark Suite	52.0%	Not measured	Only GPT-5.6 Terra measured
Neither model has a result on the other 6 boards here

Web designLike-for-likePublic boards, shown as published, kept out of the index44

Web design benchmarks for GPT-5.6 Terra and MiMo-V2.5
Benchmark	GPT-5.6 Terra	MiMo-V2.5	Leader
Design Arena: websites	1268	1265	GPT-5.6 Terra
Design Arena: UI components	1256	1255	GPT-5.6 Terra
Design Arena: game dev	1229	1249	MiMo-V2.5
Design Arena: data viz	1240	1250	MiMo-V2.5
Design Arena: 3D	1134	1215	MiMo-V2.5
Design Arena: all code categories	1241	1260	MiMo-V2.5
Design Arena: SVG	1219	1179	GPT-5.6 Terra
Design Arena: ASCII art	1177	1140	GPT-5.6 Terra
LiveBench design	76.0%	Not measured	Only GPT-5.6 Terra measured

GeneralLike-for-likePublic boards, shown as published, kept out of the index280

General benchmarks for GPT-5.6 Terra and MiMo-V2.5
Benchmark	GPT-5.6 Terra	MiMo-V2.5	Leader
LiveBench data analysis	79.3%	Not measured	Only GPT-5.6 Terra measured
Public Benefits Bench (Vals AI)	62.4%	Not measured	Only GPT-5.6 Terra measured
SAGE (Vals AI)	47.0%	43.3%	GPT-5.6 Terra
MedScribe (Vals AI)	82.9%	72.2%	GPT-5.6 Terra
Vals Multimodal Index	65.1%	52.8%	GPT-5.6 Terra
IFBench	71.2%	67.1%	GPT-5.6 Terra
Long context reasoning (AA-LCR)	83.0%	73.0%	GPT-5.6 Terra
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	1428	GPT-5.6 Terra
LMArena Text: instruction following	1456	1435	GPT-5.6 Terra
LMArena Text: creative writing	1413	1393	GPT-5.6 Terra
LMArena Vision	1271	1247	GPT-5.6 Terra
LMArena Text: English	1449	1447	GPT-5.6 Terra
LMArena Text: non-English	1441	1405	GPT-5.6 Terra
LMArena Text: Chinese	1514	1469	GPT-5.6 Terra
LMArena Text: German	1460	1421	GPT-5.6 Terra
LMArena Text: Japanese	1454	1306	GPT-5.6 Terra
LMArena Text: Korean	1427	1361	GPT-5.6 Terra
LMArena Text: French	1466	1448	GPT-5.6 Terra
LMArena Text: Spanish	1451	1414	GPT-5.6 Terra
LMArena Text: Russian	1452	1396	GPT-5.6 Terra
LMArena Text: Polish	1446	1413	GPT-5.6 Terra
LMArena Text: multi-turn	1453	1445	GPT-5.6 Terra
LMArena Text: longer queries	1454	1445	GPT-5.6 Terra
LMArena Text: writing and language	1431	1409	GPT-5.6 Terra
LMArena Text: entertainment and media	1418	1399	GPT-5.6 Terra
LMArena Vision: English	1272	1259	GPT-5.6 Terra
LMArena Vision: Chinese	1337	1326	GPT-5.6 Terra
LMArena Vision: reading text	1278	1256	GPT-5.6 Terra
LMArena Vision: humor	1236	1226	GPT-5.6 Terra
LMArena Vision: recognizing things	Not measured	1189	Only MiMo-V2.5 measured
LMArena Vision: creative writing	1248	1230	GPT-5.6 Terra
LMArena Document	1472	Not measured	Only GPT-5.6 Terra measured
Neither model has a result on the other 10 boards here

Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared

Image generation benchmarks for GPT-5.6 Terra and MiMo-V2.5
Benchmark	GPT-5.6 Terra	MiMo-V2.5	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-5.6 Terra$0.0080Fits in one request

MiMo-V2.5$0.0003Fits in one request

MiMo-V2.5 costs less

Repository review

50K input + 3K output tokens

GPT-5.6 Terra$0.136Fits in one request

MiMo-V2.5$0.0094Fits in one request

MiMo-V2.5 costs less

Agent loop

200K input + 10K output tokens

GPT-5.6 Terra$0.520Fits in one request

MiMo-V2.5$0.037Fits in one request

MiMo-V2.5 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.

Specifications of GPT-5.6 Terra and MiMo-V2.5
Specification	OpenAI GPT-5.6 Terra	Xiaomi MiMo-V2.5
Maker	OpenAI	Xiaomi
Weights	No public weights listed	Open weights
Released	July 9, 2026	April 22, 2026
Context window	1.05M	1.05M
Input $/Mtok	$2.00	$0.168
Output $/Mtok	$12.00	$0.336
Coding index	63.9	50.0
Independent measurements behind it	6	3
Cost per solved task	$0.42	$0.01
Source	OpenRouter listing	OpenRouter listing

Questions

Is GPT-5.6 Terra better than MiMo-V2.5 for coding?

Pick GPT-5.6 Terra for coding: it scores 63.9 on the Vibe Coding Index against 50.0 for MiMo-V2.5. Pick MiMo-V2.5 for output tokens 35.7x cheaper ($0.336 vs $12.00 per million) and a lower cost per solved task ($0.01 against $0.42).

Which is cheaper, GPT-5.6 Terra or MiMo-V2.5?

GPT-5.6 Terra costs $2.00 per million input tokens and $12.00 per million output tokens; MiMo-V2.5 costs $0.168 and $0.336. Per solved SWE-bench Verified task, GPT-5.6 Terra costs $0.42 and MiMo-V2.5 $0.01.

Which has the bigger context window, GPT-5.6 Terra or MiMo-V2.5?

Neither: both take 1.05M tokens.

How many benchmarks is the GPT-5.6 Terra vs MiMo-V2.5 comparison based on?

79 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-V2.5's on 3. Where only one model has a result, the page says so instead of naming a winner.

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<iframe src="https://llmbenchmark.ai/embed/compare/gpt-5-6-terra-vs-xiaomi-mimo-v2-5" title="GPT-5.6 Terra vs MiMo-V2.5, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
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GPT-5.6 Terra or MiMo-V2.5: which to pick

Which one for your work

Coding

Intelligence

Agentic work

Reasoning

Knowledge

Web design

Long documents

Everyday cost

Cost per solved task

At a glance

Benchmark by benchmark

What each workload costs

Chat turn

Repository review

Agent loop

Specification differences

Questions

Compare next