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GPT-6.1 Sol vs MiMo-V2.6-Flash

Updated October 21, 2026. 61 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GPT-6.1 Sol Replace MiMo-V2.6-Flash
GPT-6.1 SolOpenAI
Coding
88.7
Overall
51.8
Output $/M
$10.00
41
MiMo-V2.6-FlashXiaomi
Coding
61.9
Overall
37.9
Output $/M
$0.28
20
vs boards won of 61 shared

Decision reading

Pick GPT-6.1 Sol for coding: it scores 88.7 on the Vibe Coding Index against 61.9 for MiMo-V2.6-Flash.

Pick MiMo-V2.6-Flash when output tokens cost 35.7x less, or when what matters is CyberBench (Vals AI) or LMArena Text: coding, where it leads.

Model AGPT-6.1 SolOpenAI88.7/1002 independent benchmarksNo cost per solved taskModel BMiMo-V2.6-FlashXiaomi61.9/1001 independent benchmarkNo cost per solved task
Shared results
61
GPT-6.1 Sol only
34
MiMo-V2.6-Flash only
5
Like-for-like categories
7 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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.

At a glance

Coding index
GPT-6.1 Sol 88.7 from 2 benchmarks, MiMo-V2.6-Flash 61.9 from 1 benchmark.
Widest category
Agentic work, 17.5 points apart on average over 9 shared benchmarks.
Widest single gap
ALE-Bench: GPT-6.1 Sol 2743.8 against MiMo-V2.6-Flash 1244.2, 50.0 points apart on a 0 to 100 scale.
Output price
GPT-6.1 Sol $10.00 against MiMo-V2.6-Flash $0.28 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
CategoryGPT-6.1 SolBarsMiMo-V2.6-FlashTies
Coding113
Intelligence10
Agentic work63
Reasoning43
Math30
Knowledge23
General148
All shared boards4120
CodingLike-for-likeFour of these boards feed the Vibe Coding Index113
Coding benchmarks for GPT-6.1 Sol and MiMo-V2.6-Flash
BenchmarkGPT-6.1 SolMiMo-V2.6-FlashLeader
LiveBench coding96.0%Not measuredOnly GPT-6.1 Sol measured
LMArena WebDev17531634GPT-6.1 Sol
Terminal-Bench 4 (Vals AI)55.0%24.2%GPT-6.1 Sol
Vibe Code Bench (Vals AI)88.9%79.0%GPT-6.1 Sol
Code migration (Vals AI)65.1%40.9%GPT-6.1 Sol
ProgramBench (Vals AI)3.0%0.5%GPT-6.1 Sol
IOI (Vals AI)96.9%47.7%GPT-6.1 Sol
Terminal-Bench 2.1 (Vals AI)Not measured76.4%Only MiMo-V2.6-Flash measured
SWE-bench Multimodal (Vals AI)43.5%Not measuredOnly GPT-6.1 Sol measured
CyberBench (Vals AI)39.3%75.4%MiMo-V2.6-Flash
SciCode55.8%51.3%GPT-6.1 Sol
FrontierCode50.2%Not measuredOnly GPT-6.1 Sol measured
ALE-Bench2743.81244.2GPT-6.1 Sol
LMArena Text: coding14781499MiMo-V2.6-Flash
LMArena Text: software and IT14761497MiMo-V2.6-Flash
LMArena WebDev: React17541648GPT-6.1 Sol
LMArena WebDev: HTML18001641GPT-6.1 Sol
LMArena WebDev: from an image17021596GPT-6.1 Sol
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GPT-6.1 Sol and MiMo-V2.6-Flash
BenchmarkGPT-6.1 SolMiMo-V2.6-FlashLeader
AA Intelligence Index51.837.9GPT-6.1 Sol
Epoch Capabilities Index168.4Not measuredOnly GPT-6.1 Sol measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index63
Agentic work benchmarks for GPT-6.1 Sol and MiMo-V2.6-Flash
BenchmarkGPT-6.1 SolMiMo-V2.6-FlashLeader
Design Arena: agents building mobile apps1190Not measuredOnly GPT-6.1 Sol measured
Design Arena: spreadsheets1250Not measuredOnly GPT-6.1 Sol measured
LiveBench research83.5%Not measuredOnly GPT-6.1 Sol measured
LiveBench browser88.0%Not measuredOnly GPT-6.1 Sol measured
LiveBench long agentic73.0%Not measuredOnly GPT-6.1 Sol measured
SREBench (Vals AI)50.8%4.2%GPT-6.1 Sol
Finance Agent (Vals AI)52.0%56.3%MiMo-V2.6-Flash
Tax Agent Bench (Vals AI)21.8%28.5%MiMo-V2.6-Flash
Legal Research Bench (Vals AI)38.5%38.0%GPT-6.1 Sol
Harvey's Legal Agent Benchmark (Vals AI)6.3%13.3%MiMo-V2.6-Flash
Excel Modeling Benchmark (Vals AI)70.8%65.5%GPT-6.1 Sol
BioMysteryBench (Vals AI)79.6%69.3%GPT-6.1 Sol
Terminal-Bench-Science (Vals AI)52.9%4.3%GPT-6.1 Sol
Vals Science Index59.6%31.7%GPT-6.1 Sol
Robo-bench (Vals AI)28.3%Not measuredOnly GPT-6.1 Sol measured
APEX-Agents60.0%Not measuredOnly GPT-6.1 Sol measured
SpireClimb24.7%Not measuredOnly GPT-6.1 Sol measured
Neither model has a result on the other 22 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index43
Reasoning benchmarks for GPT-6.1 Sol and MiMo-V2.6-Flash
BenchmarkGPT-6.1 SolMiMo-V2.6-FlashLeader
LiveBench reasoning92.6%Not measuredOnly GPT-6.1 Sol measured
MysteryMechanism (Vals AI)46.4%21.6%GPT-6.1 Sol
Humanity's Last Exam (Artificial Analysis run)52.9%35.1%GPT-6.1 Sol
GPQA Diamond (Epoch AI run)95.4%Not measuredOnly GPT-6.1 Sol measured
ARC-AGI98.5%Not measuredOnly GPT-6.1 Sol measured
ARC-AGI-294.2%Not measuredOnly GPT-6.1 Sol measured
Chess puzzles68.0%Not measuredOnly GPT-6.1 Sol measured
Mystery game puzzles80.0%Not measuredOnly GPT-6.1 Sol measured
EBR-bench54.3%Not measuredOnly GPT-6.1 Sol measured
LMArena Text: hard prompts14631475MiMo-V2.6-Flash
LMArena Text: expert14891496MiMo-V2.6-Flash
LMArena Text: hard prompts in English14651493MiMo-V2.6-Flash
LMArena Vision: diagrams13061276GPT-6.1 Sol
LMArena Vision: homework13561283GPT-6.1 Sol
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for GPT-6.1 Sol and MiMo-V2.6-Flash
BenchmarkGPT-6.1 SolMiMo-V2.6-FlashLeader
OTIS Mock AIME100.0%Not measuredOnly GPT-6.1 Sol measured
FrontierMath, tiers 1 to 393.7%Not measuredOnly GPT-6.1 Sol measured
FrontierMath, tier 4100.0%Not measuredOnly GPT-6.1 Sol measured
ProofBench99.0%63.0%GPT-6.1 Sol
LMArena Text: math14891476GPT-6.1 Sol
LMArena Text: mathematical work15131478GPT-6.1 Sol
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index23
Knowledge benchmarks for GPT-6.1 Sol and MiMo-V2.6-Flash
BenchmarkGPT-6.1 SolMiMo-V2.6-FlashLeader
MedCode (Vals AI)48.8%41.1%GPT-6.1 Sol
SimpleQA Verified73.9%Not measuredOnly GPT-6.1 Sol measured
LMArena Text: science14441462MiMo-V2.6-Flash
LMArena Text: medicine and healthcare14331439MiMo-V2.6-Flash
LMArena Text: legal and government14711441GPT-6.1 Sol
LMArena Text: business and finance14451454MiMo-V2.6-Flash
Neither model has a result on the other 11 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for GPT-6.1 Sol and MiMo-V2.6-Flash
BenchmarkGPT-6.1 SolMiMo-V2.6-FlashLeader
Design Arena: websites1321Not measuredOnly GPT-6.1 Sol measured
Design Arena: UI components1321Not measuredOnly GPT-6.1 Sol measured
Design Arena: game dev1389Not measuredOnly GPT-6.1 Sol measured
Design Arena: data viz1278Not measuredOnly GPT-6.1 Sol measured
Design Arena: 3D1461Not measuredOnly GPT-6.1 Sol measured
Design Arena: all code categories1345Not measuredOnly GPT-6.1 Sol measured
LiveBench design82.1%Not measuredOnly GPT-6.1 Sol measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index148
General benchmarks for GPT-6.1 Sol and MiMo-V2.6-Flash
BenchmarkGPT-6.1 SolMiMo-V2.6-FlashLeader
Vals Index63.9%54.8%GPT-6.1 Sol
LiveBench data analysis82.7%Not measuredOnly GPT-6.1 Sol measured
Public Benefits Bench (Vals AI)59.3%67.6%MiMo-V2.6-Flash
SAGE (Vals AI)46.5%43.5%GPT-6.1 Sol
MedScribe (Vals AI)86.5%85.3%GPT-6.1 Sol
Long context reasoning (AA-LCR)84.0%74.3%GPT-6.1 Sol
DTBench96.5%Not measuredOnly GPT-6.1 Sol measured
LMCA62.8%Not measuredOnly GPT-6.1 Sol measured
Furniture assembly80.0%Not measuredOnly GPT-6.1 Sol measured
LMArena Text14431453MiMo-V2.6-Flash
LMArena Text: instruction following14661452GPT-6.1 Sol
LMArena Text: creative writing14251403GPT-6.1 Sol
LMArena Vision12881256GPT-6.1 Sol
LMArena Text: English14501476MiMo-V2.6-Flash
LMArena Text: non-English14331431GPT-6.1 Sol
LMArena Text: Chinese14871509MiMo-V2.6-Flash
LMArena Text: GermanNot measured1458Only MiMo-V2.6-Flash measured
LMArena Text: JapaneseNot measured1359Only MiMo-V2.6-Flash measured
LMArena Text: KoreanNot measured1425Only MiMo-V2.6-Flash measured
LMArena Text: French14601480MiMo-V2.6-Flash
LMArena Text: Spanish14391453MiMo-V2.6-Flash
LMArena Text: Russian14571409GPT-6.1 Sol
LMArena Text: PolishNot measured1455Only MiMo-V2.6-Flash measured
LMArena Text: multi-turn14421447MiMo-V2.6-Flash
LMArena Text: longer queries14581459MiMo-V2.6-Flash
LMArena Text: writing and language14441424GPT-6.1 Sol
LMArena Text: entertainment and media14261415GPT-6.1 Sol
LMArena Vision: English12741269GPT-6.1 Sol
LMArena Vision: reading text12891270GPT-6.1 Sol
LMArena Vision: creative writing13011231GPT-6.1 Sol
Neither model has a result on the other 16 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-6.1 Sol and MiMo-V2.6-Flash
BenchmarkGPT-6.1 SolMiMo-V2.6-FlashLeader
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-6.1 Sol$0.0070Fits in one request
MiMo-V2.6-Flash$0.0003Fits in one request

MiMo-V2.6-Flash costs less

Repository review

50K input + 3K output tokens

GPT-6.1 Sol$0.130Fits in one request
MiMo-V2.6-Flash$0.0078Fits in one request

MiMo-V2.6-Flash costs less

Agent loop

200K input + 10K output tokens

GPT-6.1 Sol$0.500Fits in one request
MiMo-V2.6-Flash$0.031Fits in one request

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.

Specifications of GPT-6.1 Sol and MiMo-V2.6-Flash
SpecificationOpenAI GPT-6.1 SolXiaomi MiMo-V2.6-Flash
MakerOpenAIXiaomi
WeightsNo public weights listedOpen weights
ReleasedSeptember 29, 2026September 21, 2026
Context window1.05M1.05M
Input $/Mtok$2.00$0.14
Output $/Mtok$10.00$0.28
Coding index88.761.9
Independent measurements behind it21
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-6.1 Sol better than MiMo-V2.6-Flash for coding?

Pick GPT-6.1 Sol for coding: it scores 88.7 on the Vibe Coding Index against 61.9 for MiMo-V2.6-Flash. Pick MiMo-V2.6-Flash when output tokens cost 35.7x less, or when what matters is CyberBench (Vals AI) or LMArena Text: coding, where it leads.

Which is cheaper, GPT-6.1 Sol or MiMo-V2.6-Flash?

GPT-6.1 Sol costs $2.00 per million input tokens and $10.00 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 Sol or MiMo-V2.6-Flash?

Neither: both take 1.05M tokens.

How many benchmarks is the GPT-6.1 Sol vs MiMo-V2.6-Flash comparison based on?

61 benchmarks have a result for both models as of October 21, 2026. GPT-6.1 Sol's coding index rests on 2 independent benchmarks and MiMo-V2.6-Flash's on 1. Where only one model has a result, the page says so instead of naming a winner.

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