GPT-5.6 Sol vs MiMo-V2.5

GPT-5.6 Sol leads MiMo-V2.5 on coding, 73.5 to 50.0 on the Vibe Coding Index, and MiMo-V2.5 costs 59.5x less per output token ($0.336 vs $20.00 per million). Updated October 22, 2026; 79 benchmarks have a result for both.

Replace GPT-5.6 Sol Replace MiMo-V2.5

GPT-5.6 SolOpenAI

Coding: 73.5
Overall: 74.7
Output $/M: $20.00

MiMo-V2.5Xiaomi

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

vs boards won of 79 shared

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

Pick GPT-5.6 Sol for coding: it scores 73.5 on the Vibe Coding Index against 50.0 for MiMo-V2.5.

Pick MiMo-V2.5 for output tokens 59.5x cheaper ($0.336 vs $20.00 per million) and a lower cost per solved task ($0.01 against $1.20).

Model AGPT-5.6 SolOpenAI73.5/1006 independent benchmarks$1.20 per solved task Model BMiMo-V2.5Xiaomi50.0/1003 independent benchmarks$0.01 per solved task

79601

Shared results: 79
GPT-5.6 Sol only: 60
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 Sol
GPT-5.6 Sol scores 73.5 against 50.0.
6 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
GPT-5.6 Sol
GPT-5.6 Sol leads, 47.0 against 21.8.
Same board, both measured
Agentic work
AA Agentic Index
GPT-5.6 Sol
GPT-5.6 Sol leads, 50.2 against 15.8.
Same board, both measured
Reasoning
GPQA Diamond
GPT-5.6 Sol
GPT-5.6 Sol leads, 95.2% against 81.6%.
Same board, both measured
Knowledge
MMLU Pro
GPT-5.6 Sol
GPT-5.6 Sol leads, 89.1% against 82.9%.
Same board, both measured
Web design
Design Arena: websites
GPT-5.6 Sol
GPT-5.6 Sol leads, 1321 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 Sol $0.014, 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 Sol $1.20, MiMo-V2.5 $0.01.
Published attempt cost and pass rate

At a glance

Coding index: GPT-5.6 Sol 73.5 from 6 benchmarks, MiMo-V2.5 50.0 from 3 benchmarks.
Widest category: Math, 26.9 points apart on average over 3 shared benchmarks.
Widest single gap: ProofBench: GPT-5.6 Sol 83.0% against MiMo-V2.5 16.0%, 67.0 points apart on a 0 to 100 scale.
Output price: GPT-5.6 Sol $20.00 against MiMo-V2.5 $0.336 per million output tokens, 59.5x 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 Sol	MiMo-V2.5
Coding	14	0
Intelligence	1	0
Agentic work	5	1
Reasoning	9	0
Math	3	0
Knowledge	9	1
Web design	8	0
General	27	1
All shared boards	76	3

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

Coding benchmarks for GPT-5.6 Sol and MiMo-V2.5
Benchmark	GPT-5.6 Sol	MiMo-V2.5	Leader
LiveBench coding	89.7%	Not measured	Only GPT-5.6 Sol measured
LMArena WebDev	1616	1438	GPT-5.6 Sol
AA Coding Index	77.4	56.8	GPT-5.6 Sol
LiveCodeBench (Vals AI)	82.6%	81.5%	GPT-5.6 Sol
SWE-bench Verified (Vals AI)	96.2%	71.0%	GPT-5.6 Sol
Terminal-Bench 4 (Vals AI)	37.9%	Not measured	Only GPT-5.6 Sol measured
Vibe Code Bench (Vals AI)	80.5%	42.2%	GPT-5.6 Sol
Code migration (Vals AI)	52.9%	14.2%	GPT-5.6 Sol
ProgramBench (Vals AI)	1.5%	Not measured	Only GPT-5.6 Sol measured
IOI (Vals AI)	91.2%	Not measured	Only GPT-5.6 Sol measured
Terminal-Bench 2.1 (Vals AI)	85.8%	60.7%	GPT-5.6 Sol
Vibe Code Bench 1-100 (Vals AI)	20.0%	Not measured	Only GPT-5.6 Sol measured
SkillsBench (Vals AI)	54.1%	Not measured	Only GPT-5.6 Sol measured
CyberBench (Vals AI)	76.3%	Not measured	Only GPT-5.6 Sol measured
SciCode	57.8%	43.9%	GPT-5.6 Sol
Terminal-Bench Hard (Artificial Analysis run)	65.9%	41.7%	GPT-5.6 Sol
FrontierCode	47.5%	Not measured	Only GPT-5.6 Sol measured
FrontierSWE	32.2%	Not measured	Only GPT-5.6 Sol measured
GSO-Bench	76.5%	Not measured	Only GPT-5.6 Sol measured
WeirdML	88.8%	Not measured	Only GPT-5.6 Sol measured
MirrorCode	20.0%	Not measured	Only GPT-5.6 Sol measured
ALE-Bench	2176.9	514.0	GPT-5.6 Sol
LMArena Text: coding	1496	1469	GPT-5.6 Sol
LMArena Text: software and IT	1489	1463	GPT-5.6 Sol
LMArena WebDev: React	1620	1425	GPT-5.6 Sol
LMArena WebDev: HTML	1618	1429	GPT-5.6 Sol
LMArena WebDev: from an image	1609	Not measured	Only GPT-5.6 Sol measured
SciCode	10.8%	Not measured	Only GPT-5.6 Sol measured
Neither model has a result on the other 11 boards here

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

Intelligence benchmarks for GPT-5.6 Sol and MiMo-V2.5
Benchmark	GPT-5.6 Sol	MiMo-V2.5	Leader
AA Intelligence Index	47.0	21.8	GPT-5.6 Sol
Epoch Capabilities Index	162.8	Not measured	Only GPT-5.6 Sol measured

Agentic workLike-for-likePublic boards, shown as published, kept out of the index51

Agentic work benchmarks for GPT-5.6 Sol and MiMo-V2.5
Benchmark	GPT-5.6 Sol	MiMo-V2.5	Leader
AA Agentic Index	50.2	15.8	GPT-5.6 Sol
Design Arena: agents building web apps	1245	Not measured	Only GPT-5.6 Sol measured
Design Arena: agents building full-stack apps	1261	Not measured	Only GPT-5.6 Sol measured
Design Arena: agents building mobile apps	1248	Not measured	Only GPT-5.6 Sol measured
Design Arena: agents building Android apps	1240	Not measured	Only GPT-5.6 Sol measured
Design Arena: agents building Godot games	1260	Not measured	Only GPT-5.6 Sol measured
Design Arena: agents building games	1266	Not measured	Only GPT-5.6 Sol measured
Design Arena: HTML slides	1236	Not measured	Only GPT-5.6 Sol measured
Design Arena: PowerPoint slides	1215	Not measured	Only GPT-5.6 Sol measured
LiveBench research	54.5%	Not measured	Only GPT-5.6 Sol measured
LiveBench browser	88.0%	Not measured	Only GPT-5.6 Sol measured
LiveBench long agentic	48.5%	Not measured	Only GPT-5.6 Sol measured
SREBench (Vals AI)	30.5%	Not measured	Only GPT-5.6 Sol measured
Finance Agent (Vals AI)	53.8%	36.7%	GPT-5.6 Sol
Tax Agent Bench (Vals AI)	31.1%	7.8%	GPT-5.6 Sol
Legal Research Bench (Vals AI)	48.1%	9.1%	GPT-5.6 Sol
Excel Modeling Benchmark (Vals AI)	72.3%	55.1%	GPT-5.6 Sol
BioMysteryBench (Vals AI)	71.1%	Not measured	Only GPT-5.6 Sol measured
Terminal-Bench-Science (Vals AI)	20.0%	Not measured	Only GPT-5.6 Sol measured
Vals Science Index	41.5%	Not measured	Only GPT-5.6 Sol measured
Time Horizon Index (Vals AI)	23.8%	Not measured	Only GPT-5.6 Sol measured
CUA-bench (Vals AI)	8.3%	Not measured	Only GPT-5.6 Sol measured
τ²-Bench Telecom	85.1%	90.6%	MiMo-V2.5
OSWorld 2.0	27.3%	Not measured	Only GPT-5.6 Sol measured
BALROG	60.0%	Not measured	Only GPT-5.6 Sol measured
PostTrainBench	36.2%	Not measured	Only GPT-5.6 Sol measured
Vending-Bench 2	$9,619	Not measured	Only GPT-5.6 Sol measured
LMArena Search	1261	Not measured	Only GPT-5.6 Sol measured
Neither model has a result on the other 13 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index90

Reasoning benchmarks for GPT-5.6 Sol and MiMo-V2.5
Benchmark	GPT-5.6 Sol	MiMo-V2.5	Leader
GPQA Diamond	95.2%	81.6%	GPT-5.6 Sol
LiveBench reasoning	91.7%	Not measured	Only GPT-5.6 Sol measured
MysteryMechanism (Vals AI)	33.3%	Not measured	Only GPT-5.6 Sol measured
MMMU Pro (Vals AI)	88.8%	80.0%	GPT-5.6 Sol
GPQA Diamond (Artificial Analysis run)	94.1%	84.9%	GPT-5.6 Sol
Humanity's Last Exam (Artificial Analysis run)	49.5%	27.2%	GPT-5.6 Sol
GPQA Diamond (Epoch AI run)	93.5%	Not measured	Only GPT-5.6 Sol measured
ARC-AGI	97.5%	Not measured	Only GPT-5.6 Sol measured
ARC-AGI-2	92.5%	Not measured	Only GPT-5.6 Sol measured
SimpleBench	64.8%	Not measured	Only GPT-5.6 Sol measured
Chess puzzles	59.0%	Not measured	Only GPT-5.6 Sol measured
Mystery game puzzles	58.0%	Not measured	Only GPT-5.6 Sol measured
EBR-bench	44.8%	Not measured	Only GPT-5.6 Sol measured
LMArena Text: hard prompts	1483	1450	GPT-5.6 Sol
LMArena Text: expert	1517	1459	GPT-5.6 Sol
LMArena Text: hard prompts in English	1477	1461	GPT-5.6 Sol
LMArena Vision: diagrams	1305	1269	GPT-5.6 Sol
LMArena Vision: homework	1305	1262	GPT-5.6 Sol
Kagi LLM Benchmark	67.0%	Not measured	Only GPT-5.6 Sol measured
Neither model has a result on the other 3 boards here

MathLike-for-likePublic boards, shown as published, kept out of the index30

Math benchmarks for GPT-5.6 Sol and MiMo-V2.5
Benchmark	GPT-5.6 Sol	MiMo-V2.5	Leader
OTIS Mock AIME	100.0%	Not measured	Only GPT-5.6 Sol measured
FrontierMath, tiers 1 to 3	89.1%	Not measured	Only GPT-5.6 Sol measured
FrontierMath, tier 4	82.9%	Not measured	Only GPT-5.6 Sol measured
ProofBench	83.0%	16.0%	GPT-5.6 Sol
LMArena Text: math	1473	1436	GPT-5.6 Sol
LMArena Text: mathematical work	1496	1451	GPT-5.6 Sol
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 Sol and MiMo-V2.5
Benchmark	GPT-5.6 Sol	MiMo-V2.5	Leader
MMLU Pro	89.1%	82.9%	GPT-5.6 Sol
LegalBench (Vals AI)	87.0%	78.9%	GPT-5.6 Sol
CorpFin (Vals AI)	64.4%	59.9%	GPT-5.6 Sol
TaxEval (Vals AI)	74.8%	71.8%	GPT-5.6 Sol
MortgageTax (Vals AI)	67.3%	59.3%	GPT-5.6 Sol
MedCode (Vals AI)	44.0%	31.9%	GPT-5.6 Sol
SimpleQA Verified	69.7%	Not measured	Only GPT-5.6 Sol measured
LMArena Text: science	1455	1440	GPT-5.6 Sol
LMArena Text: medicine and healthcare	1431	1432	MiMo-V2.5
LMArena Text: legal and government	1476	1425	GPT-5.6 Sol
LMArena Text: business and finance	1457	1432	GPT-5.6 Sol
FACTS Benchmark Suite	52.4%	Not measured	Only GPT-5.6 Sol measured
Neither model has a result on the other 6 boards here

Web designLike-for-likePublic boards, shown as published, kept out of the index80

Web design benchmarks for GPT-5.6 Sol and MiMo-V2.5
Benchmark	GPT-5.6 Sol	MiMo-V2.5	Leader
Design Arena: websites	1321	1265	GPT-5.6 Sol
Design Arena: UI components	1335	1255	GPT-5.6 Sol
Design Arena: game dev	1367	1249	GPT-5.6 Sol
Design Arena: data viz	1322	1250	GPT-5.6 Sol
Design Arena: 3D	1384	1215	GPT-5.6 Sol
Design Arena: all code categories	1341	1260	GPT-5.6 Sol
Design Arena: SVG	1314	1179	GPT-5.6 Sol
Design Arena: ASCII art	1304	1140	GPT-5.6 Sol
LiveBench design	81.6%	Not measured	Only GPT-5.6 Sol measured

GeneralLike-for-likePublic boards, shown as published, kept out of the index271

General benchmarks for GPT-5.6 Sol and MiMo-V2.5
Benchmark	GPT-5.6 Sol	MiMo-V2.5	Leader
LiveBench data analysis	79.8%	Not measured	Only GPT-5.6 Sol measured
Public Benefits Bench (Vals AI)	66.5%	Not measured	Only GPT-5.6 Sol measured
SAGE (Vals AI)	52.6%	43.3%	GPT-5.6 Sol
MedScribe (Vals AI)	85.2%	72.2%	GPT-5.6 Sol
Vals Multimodal Index	72.6%	52.8%	GPT-5.6 Sol
IFBench	72.7%	67.1%	GPT-5.6 Sol
Long context reasoning (AA-LCR)	84.0%	73.0%	GPT-5.6 Sol
DTBench	95.7%	Not measured	Only GPT-5.6 Sol measured
LMCA	58.5%	Not measured	Only GPT-5.6 Sol measured
Surface Evolver Bench	93.1%	Not measured	Only GPT-5.6 Sol measured
Furniture assembly	56.7%	Not measured	Only GPT-5.6 Sol measured
LMArena Text	1457	1428	GPT-5.6 Sol
LMArena Text: instruction following	1483	1435	GPT-5.6 Sol
LMArena Text: creative writing	1449	1393	GPT-5.6 Sol
LMArena Vision	1281	1247	GPT-5.6 Sol
LMArena Text: English	1457	1447	GPT-5.6 Sol
LMArena Text: non-English	1451	1405	GPT-5.6 Sol
LMArena Text: Chinese	1525	1469	GPT-5.6 Sol
LMArena Text: German	1476	1421	GPT-5.6 Sol
LMArena Text: Japanese	1472	1306	GPT-5.6 Sol
LMArena Text: Korean	1442	1361	GPT-5.6 Sol
LMArena Text: French	1472	1448	GPT-5.6 Sol
LMArena Text: Spanish	1443	1414	GPT-5.6 Sol
LMArena Text: Russian	1471	1396	GPT-5.6 Sol
LMArena Text: Polish	1459	1413	GPT-5.6 Sol
LMArena Text: multi-turn	1461	1445	GPT-5.6 Sol
LMArena Text: longer queries	1481	1445	GPT-5.6 Sol
LMArena Text: writing and language	1462	1409	GPT-5.6 Sol
LMArena Text: entertainment and media	1450	1399	GPT-5.6 Sol
LMArena Vision: English	1280	1259	GPT-5.6 Sol
LMArena Vision: Chinese	1313	1326	MiMo-V2.5
LMArena Vision: reading text	1290	1256	GPT-5.6 Sol
LMArena Vision: humor	1246	1226	GPT-5.6 Sol
LMArena Vision: recognizing things	Not measured	1189	Only MiMo-V2.5 measured
LMArena Vision: creative writing	1283	1230	GPT-5.6 Sol
LMArena Document	1483	Not measured	Only GPT-5.6 Sol 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 Sol and MiMo-V2.5
Benchmark	GPT-5.6 Sol	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 Sol$0.014Fits 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 Sol$0.260Fits 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 Sol$1.00Fits 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 Sol and MiMo-V2.5
Specification	OpenAI GPT-5.6 Sol	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	$4.00	$0.168
Output $/Mtok	$20.00	$0.336
Coding index	73.5	50.0
Independent measurements behind it	6	3
Cost per solved task	$1.20	$0.01
Source	OpenRouter listing	OpenRouter listing

Questions

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

Pick GPT-5.6 Sol for coding: it scores 73.5 on the Vibe Coding Index against 50.0 for MiMo-V2.5. Pick MiMo-V2.5 for output tokens 59.5x cheaper ($0.336 vs $20.00 per million) and a lower cost per solved task ($0.01 against $1.20).

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

GPT-5.6 Sol costs $4.00 per million input tokens and $20.00 per million output tokens; MiMo-V2.5 costs $0.168 and $0.336. Per solved SWE-bench Verified task, GPT-5.6 Sol costs $1.20 and MiMo-V2.5 $0.01.

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

Neither: both take 1.05M tokens.

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

79 benchmarks have a result for both models as of October 22, 2026. GPT-5.6 Sol'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-sol-vs-xiaomi-mimo-v2-5" title="GPT-5.6 Sol 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 Sol 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