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Gemini 2.5 Flash vs MiniMax M2.7

MiniMax M2.7 leads Gemini 2.5 Flash on the Artificial Analysis Intelligence Index, 22.8 to 15.5, and MiniMax M2.7 costs 2.1x less per output token ($1.20 vs $2.50 per million). Updated October 22, 2026; 46 benchmarks have a result for both.

Replace Gemini 2.5 Flash Replace MiniMax M2.7
Gemini 2.5 FlashGoogle
Coding
No data
Overall
34.3
Output $/M
$2.50
20
MiniMax M2.7MiniMax
Coding
36.2
Overall
44.5
Output $/M
$1.20
26
vs boards won of 46 shared

Gemini 2.5 Flash or MiniMax M2.7: which to pick

Only MiniMax M2.7 has a coding score, 36.2 on the Vibe Coding Index; Gemini 2.5 Flash has none, so the two cannot be ranked on coding.

Pick Gemini 2.5 Flash for a lower cost per solved task ($0.466 against $0.64) and a larger context window (1.05M against 205K tokens).

Model AGemini 2.5 FlashGoogleNot benchmarkedNo coding benchmark$0.466 per solved taskModel BMiniMax M2.7MiniMax36.2/1003 independent benchmarks$0.64 per solved task
Shared results
46
Gemini 2.5 Flash only
27
MiniMax M2.7 only
28
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.

At a glance

Coding index
Gemini 2.5 Flash not benchmarked, MiniMax M2.7 36.2 from 3 benchmarks.
Widest category
Agentic work, 53.2 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: Gemini 2.5 Flash 31.6% against MiniMax M2.7 84.8%, 53.2 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Flash $2.50 against MiniMax M2.7 $1.20 per million output tokens, 2.1x apart.
Context window
Gemini 2.5 Flash takes 1.05M tokens, MiniMax M2.7 205K.

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
CategoryGemini 2.5 FlashBarsMiniMax M2.7Ties
Coding04
Intelligence02
Agentic work01
Reasoning05
Math02
Knowledge41
Web design07
General164
All shared boards2026
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
Coding benchmarks for Gemini 2.5 Flash and MiniMax M2.7
BenchmarkGemini 2.5 FlashMiniMax M2.7Leader
SWE-bench Verified28.7%Not measuredOnly Gemini 2.5 Flash measured
LMArena WebDevNot measured1399Only MiniMax M2.7 measured
AA Coding IndexNot measured52.6Only MiniMax M2.7 measured
LiveCodeBench (Vals AI)Not measured79.9%Only MiniMax M2.7 measured
SWE-bench Verified (Vals AI)Not measured73.8%Only MiniMax M2.7 measured
Vibe Code Bench (Vals AI)Not measured11.9%Only MiniMax M2.7 measured
Code migration (Vals AI)Not measured8.7%Only MiniMax M2.7 measured
ProgramBench (Vals AI)Not measured0.0%Only MiniMax M2.7 measured
Terminal-Bench 2.1 (Vals AI)Not measured48.7%Only MiniMax M2.7 measured
LiveCodeBench (Artificial Analysis run)69.5%Not measuredOnly Gemini 2.5 Flash measured
SciCodeNot measured50.1%Only MiniMax M2.7 measured
Terminal-Bench Hard (Artificial Analysis run)13.6%39.4%MiniMax M2.7
Terminal-Bench17.1%45.1%MiniMax M2.7
WeirdMLNot measured37.0%Only MiniMax M2.7 measured
ALE-BenchNot measured599.3Only MiniMax M2.7 measured
LMArena Text: coding14231454MiniMax M2.7
LMArena Text: software and IT14251446MiniMax M2.7
LMArena WebDev: ReactNot measured1388Only MiniMax M2.7 measured
LMArena WebDev: HTMLNot measured1401Only MiniMax M2.7 measured
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Gemini 2.5 Flash and MiniMax M2.7
BenchmarkGemini 2.5 FlashMiniMax M2.7Leader
AA Intelligence Index15.522.8MiniMax M2.7
Epoch Capabilities Index142.9145.8MiniMax M2.7
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Gemini 2.5 Flash and MiniMax M2.7
BenchmarkGemini 2.5 FlashMiniMax M2.7Leader
AA Agentic IndexNot measured15.3Only MiniMax M2.7 measured
Finance Agent (Vals AI)Not measured27.9%Only MiniMax M2.7 measured
Tax Agent Bench (Vals AI)Not measured6.9%Only MiniMax M2.7 measured
Legal Research Bench (Vals AI)Not measured10.6%Only MiniMax M2.7 measured
Excel Modeling Benchmark (Vals AI)Not measured28.4%Only MiniMax M2.7 measured
τ²-Bench Telecom31.6%84.8%MiniMax M2.7
BALROG33.5%Not measuredOnly Gemini 2.5 Flash measured
Vending-Bench 2$549Not measuredOnly Gemini 2.5 Flash measured
Berkeley Function Calling Leaderboard (BFCL)56.2%Not measuredOnly Gemini 2.5 Flash measured
BrowseComp-Plus39.9%Not measuredOnly Gemini 2.5 Flash measured
Neither model has a result on the other 31 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for Gemini 2.5 Flash and MiniMax M2.7
BenchmarkGemini 2.5 FlashMiniMax M2.7Leader
GPQA DiamondNot measured86.6%Only MiniMax M2.7 measured
GPQA Diamond (Artificial Analysis run)79.0%87.4%MiniMax M2.7
Humanity's Last Exam (Artificial Analysis run)12.1%29.6%MiniMax M2.7
ARC-AGI33.3%Not measuredOnly Gemini 2.5 Flash measured
ARC-AGI-22.5%Not measuredOnly Gemini 2.5 Flash measured
SimpleBench41.2%Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: hard prompts14221422MiniMax M2.7
LMArena Text: expert14261443MiniMax M2.7
LMArena Text: hard prompts in English14201441MiniMax M2.7
LMArena Vision: diagrams1245Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: homework1244Not measuredOnly Gemini 2.5 Flash measured
Kagi LLM Benchmark56.8%Not measuredOnly Gemini 2.5 Flash measured
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Gemini 2.5 Flash and MiniMax M2.7
BenchmarkGemini 2.5 FlashMiniMax M2.7Leader
AIMENot measured91.0%Only MiniMax M2.7 measured
AA Math Index73.3Not measuredOnly Gemini 2.5 Flash measured
AIME 2025 (Artificial Analysis run)73.3%Not measuredOnly Gemini 2.5 Flash measured
ProofBenchNot measured3.0%Only MiniMax M2.7 measured
LMArena Text: math14111421MiniMax M2.7
LMArena Text: mathematical work14221437MiniMax M2.7
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index41
Knowledge benchmarks for Gemini 2.5 Flash and MiniMax M2.7
BenchmarkGemini 2.5 FlashMiniMax M2.7Leader
MMLU ProNot measured80.4%Only MiniMax M2.7 measured
LegalBench (Vals AI)Not measured84.0%Only MiniMax M2.7 measured
CaseLaw (Vals AI)Not measured60.9%Only MiniMax M2.7 measured
CorpFin (Vals AI)Not measured61.2%Only MiniMax M2.7 measured
TaxEval (Vals AI)Not measured66.6%Only MiniMax M2.7 measured
MedCode (Vals AI)40.4%34.4%Gemini 2.5 Flash
MMLU Pro (Artificial Analysis run)83.2%Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: science14331416Gemini 2.5 Flash
LMArena Text: medicine and healthcare14281409Gemini 2.5 Flash
LMArena Text: legal and government14301403Gemini 2.5 Flash
LMArena Text: business and finance14041407MiniMax M2.7
FACTS Benchmark Suite47.2%Not measuredOnly Gemini 2.5 Flash measured
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index07
Web design benchmarks for Gemini 2.5 Flash and MiniMax M2.7
BenchmarkGemini 2.5 FlashMiniMax M2.7Leader
Design Arena: websites10741243MiniMax M2.7
Design Arena: UI components10021210MiniMax M2.7
Design Arena: game dev10041209MiniMax M2.7
Design Arena: data viz10601233MiniMax M2.7
Design Arena: 3D10201195MiniMax M2.7
Design Arena: all code categories10591233MiniMax M2.7
Design Arena: SVG10201137MiniMax M2.7
Design Arena: ASCII artNot measured1136Only MiniMax M2.7 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index164
General benchmarks for Gemini 2.5 Flash and MiniMax M2.7
BenchmarkGemini 2.5 FlashMiniMax M2.7Leader
SAGE (Vals AI)44.8%Not measuredOnly Gemini 2.5 Flash measured
MedScribe (Vals AI)83.0%79.9%Gemini 2.5 Flash
IFBench50.3%75.7%MiniMax M2.7
Long context reasoning (AA-LCR)65.3%78.3%MiniMax M2.7
DTBench76.5%Not measuredOnly Gemini 2.5 Flash measured
LMCA27.5%Not measuredOnly Gemini 2.5 Flash measured
ExploitBenchNot measured13.3%Only MiniMax M2.7 measured
LMArena Text14171405Gemini 2.5 Flash
LMArena Text: instruction following14051405Gemini 2.5 Flash
LMArena Text: creative writing14001354Gemini 2.5 Flash
LMArena Vision1235Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: English14181426MiniMax M2.7
LMArena Text: non-English14091382Gemini 2.5 Flash
LMArena Text: Chinese14491442Gemini 2.5 Flash
LMArena Text: German14171398Gemini 2.5 Flash
LMArena Text: Japanese13961260Gemini 2.5 Flash
LMArena Text: Korean13851314Gemini 2.5 Flash
LMArena Text: French14321424Gemini 2.5 Flash
LMArena Text: Spanish14221402Gemini 2.5 Flash
LMArena Text: Russian14151383Gemini 2.5 Flash
LMArena Text: Polish14131387Gemini 2.5 Flash
LMArena Text: multi-turn14081412MiniMax M2.7
LMArena Text: longer queries14191418Gemini 2.5 Flash
LMArena Text: writing and language14051376Gemini 2.5 Flash
LMArena Text: entertainment and media13931360Gemini 2.5 Flash
LMArena Vision: English1239Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: Chinese1284Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: reading text1237Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: humor1225Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: captioning1277Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: recognizing things1252Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: creative writing1241Not measuredOnly Gemini 2.5 Flash measured
Neither model has a result on the other 14 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 2.5 Flash and MiniMax M2.7
BenchmarkGemini 2.5 FlashMiniMax M2.7Leader
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

Gemini 2.5 Flash$0.0015Fits in one request
MiniMax M2.7$0.0009Fits in one request

MiniMax M2.7 costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Flash$0.022Fits in one request
MiniMax M2.7$0.019Fits in one request

MiniMax M2.7 costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Flash$0.085Fits in one request
MiniMax M2.7$0.072Exceeds the context window

MiniMax M2.7 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 Gemini 2.5 Flash and MiniMax M2.7
SpecificationGoogle Gemini 2.5 FlashMiniMax M2.7
MakerGoogleMiniMax
WeightsNo public weights listedOpen weights
ReleasedJune 17, 2025March 18, 2026
Context window1.05M205K
Input $/Mtok$0.30$0.30
Output $/Mtok$2.50$1.20
Coding indexNot benchmarked36.2
Independent measurements behind it03
Cost per solved task$0.466$0.64
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Flash better than MiniMax M2.7 for coding?

Only MiniMax M2.7 has a coding score, 36.2 on the Vibe Coding Index; Gemini 2.5 Flash has none, so the two cannot be ranked on coding. Pick Gemini 2.5 Flash for a lower cost per solved task ($0.466 against $0.64) and a larger context window (1.05M against 205K tokens).

Which is cheaper, Gemini 2.5 Flash or MiniMax M2.7?

Gemini 2.5 Flash costs $0.30 per million input tokens and $2.50 per million output tokens; MiniMax M2.7 costs $0.30 and $1.20. Per solved SWE-bench Verified task, Gemini 2.5 Flash costs $0.466 and MiniMax M2.7 $0.64.

Which has the bigger context window, Gemini 2.5 Flash or MiniMax M2.7?

Gemini 2.5 Flash, with 1.05M tokens against 205K.

How many benchmarks is the Gemini 2.5 Flash vs MiniMax M2.7 comparison based on?

46 benchmarks have a result for both models as of October 22, 2026. Gemini 2.5 Flash's coding index rests on 0 independent benchmarks and MiniMax M2.7's on 3. Where only one model has a result, the page says so instead of naming a winner.

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