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GPT-5.5 Pro vs MiniMax M2

MiniMax M2 costs 176.5x less per output token than GPT-5.5 Pro ($1.02 vs $180.00 per million). Updated October 22, 2026; no benchmark has tested both models yet.

Replace GPT-5.5 Pro Replace MiniMax M2
GPT-5.5 ProOpenAI
Coding
No data
Overall
No data
Output $/M
$180.00
MiniMax M2MiniMax
Coding
No data
Overall
No data
Output $/M
$1.02
vs $180.00 vs $1.02 per 1M output tokens. MiniMax M2 is 176.5x cheaper.

GPT-5.5 Pro or MiniMax M2: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick GPT-5.5 Pro for a larger context window (1.05M against 205K tokens).

Model AGPT-5.5 ProOpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BMiniMax M2MiniMaxNot benchmarked1 independent benchmark$0.702 per solved task

No benchmark has tested both yet. GPT-5.5 Pro has results on Epoch Capabilities Index, ARC-AGI and ARC-AGI-2; MiniMax M2 on SWE-bench Verified, LMArena WebDev and LiveCodeBench (Artificial Analysis run). Compare them on price and context instead.

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-5.5 Pro not benchmarked, MiniMax M2 not benchmarked.
Widest category
None yet: no category has been tested on both models.
Widest single gap
None yet: no benchmark has tested both models.
Output price
GPT-5.5 Pro $180.00 against MiniMax M2 $1.02 per million output tokens, 176.5x apart.
Context window
GPT-5.5 Pro takes 1.05M tokens, MiniMax M2 205K.

Benchmark by benchmark

Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.

CodingDirectional onlySix of these boards feed the Vibe Coding Index8 boards measured
Coding benchmarks for GPT-5.5 Pro and MiniMax M2
BenchmarkGPT-5.5 ProMiniMax M2Leader
SWE-bench VerifiedNot measured61.0%Only MiniMax M2 measured
LMArena WebDevNot measured1297Only MiniMax M2 measured
LiveCodeBench (Artificial Analysis run)Not measured82.6%Only MiniMax M2 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured25.8%Only MiniMax M2 measured
Terminal-BenchNot measured30.0%Only MiniMax M2 measured
LMArena Text: codingNot measured1371Only MiniMax M2 measured
LMArena Text: software and ITNot measured1373Only MiniMax M2 measured
LMArena WebDev: HTMLNot measured1306Only MiniMax M2 measured
Neither model has a result on the other 31 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Intelligence benchmarks for GPT-5.5 Pro and MiniMax M2
BenchmarkGPT-5.5 ProMiniMax M2Leader
AA Intelligence IndexNot measured18.6Only MiniMax M2 measured
Epoch Capabilities Index162.9Not measuredOnly GPT-5.5 Pro measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Agentic work benchmarks for GPT-5.5 Pro and MiniMax M2
BenchmarkGPT-5.5 ProMiniMax M2Leader
τ²-Bench TelecomNot measured86.8%Only MiniMax M2 measured
Vending-Bench 2Not measured$161Only MiniMax M2 measured
Neither model has a result on the other 39 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index10 boards measured
Reasoning benchmarks for GPT-5.5 Pro and MiniMax M2
BenchmarkGPT-5.5 ProMiniMax M2Leader
GPQA Diamond (Artificial Analysis run)Not measured77.7%Only MiniMax M2 measured
Humanity's Last Exam (Artificial Analysis run)Not measured13.7%Only MiniMax M2 measured
ARC-AGI96.5%Not measuredOnly GPT-5.5 Pro measured
ARC-AGI-284.6%Not measuredOnly GPT-5.5 Pro measured
SimpleBench76.9%Not measuredOnly GPT-5.5 Pro measured
Chess puzzles62.0%Not measuredOnly GPT-5.5 Pro measured
LMArena Text: hard promptsNot measured1357Only MiniMax M2 measured
LMArena Text: expertNot measured1338Only MiniMax M2 measured
LMArena Text: hard prompts in EnglishNot measured1376Only MiniMax M2 measured
Kagi LLM BenchmarkNot measured57.8%Only MiniMax M2 measured
Neither model has a result on the other 12 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards measured
Math benchmarks for GPT-5.5 Pro and MiniMax M2
BenchmarkGPT-5.5 ProMiniMax M2Leader
AA Math IndexNot measured78.3Only MiniMax M2 measured
AIME 2025 (Artificial Analysis run)Not measured78.3%Only MiniMax M2 measured
FrontierMath, tiers 1 to 387.7%Not measuredOnly GPT-5.5 Pro measured
FrontierMath, tier 478.0%Not measuredOnly GPT-5.5 Pro measured
LMArena Text: mathNot measured1351Only MiniMax M2 measured
LMArena Text: mathematical workNot measured1368Only MiniMax M2 measured
Neither model has a result on the other 7 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
Knowledge benchmarks for GPT-5.5 Pro and MiniMax M2
BenchmarkGPT-5.5 ProMiniMax M2Leader
MMLU Pro (Artificial Analysis run)Not measured82.0%Only MiniMax M2 measured
LMArena Text: scienceNot measured1348Only MiniMax M2 measured
LMArena Text: medicine and healthcareNot measured1367Only MiniMax M2 measured
LMArena Text: legal and governmentNot measured1349Only MiniMax M2 measured
LMArena Text: business and financeNot measured1336Only MiniMax M2 measured
Neither model has a result on the other 13 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards measured
Web design benchmarks for GPT-5.5 Pro and MiniMax M2
BenchmarkGPT-5.5 ProMiniMax M2Leader
Design Arena: websitesNot measured1143Only MiniMax M2 measured
Design Arena: UI componentsNot measured1134Only MiniMax M2 measured
Design Arena: game devNot measured1118Only MiniMax M2 measured
Design Arena: data vizNot measured1140Only MiniMax M2 measured
Design Arena: 3DNot measured1098Only MiniMax M2 measured
Design Arena: all code categoriesNot measured1135Only MiniMax M2 measured
Design Arena: SVGNot measured1100Only MiniMax M2 measured
Neither model has a result on the other 2 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index19 boards measured
General benchmarks for GPT-5.5 Pro and MiniMax M2
BenchmarkGPT-5.5 ProMiniMax M2Leader
IFBenchNot measured72.3%Only MiniMax M2 measured
Long context reasoning (AA-LCR)Not measured64.3%Only MiniMax M2 measured
DTBench96.0%Not measuredOnly GPT-5.5 Pro measured
LMCA53.9%Not measuredOnly GPT-5.5 Pro measured
LMArena TextNot measured1340Only MiniMax M2 measured
LMArena Text: instruction followingNot measured1329Only MiniMax M2 measured
LMArena Text: creative writingNot measured1286Only MiniMax M2 measured
LMArena Text: EnglishNot measured1364Only MiniMax M2 measured
LMArena Text: non-EnglishNot measured1313Only MiniMax M2 measured
LMArena Text: ChineseNot measured1366Only MiniMax M2 measured
LMArena Text: GermanNot measured1357Only MiniMax M2 measured
LMArena Text: FrenchNot measured1336Only MiniMax M2 measured
LMArena Text: SpanishNot measured1326Only MiniMax M2 measured
LMArena Text: RussianNot measured1330Only MiniMax M2 measured
LMArena Text: PolishNot measured1312Only MiniMax M2 measured
LMArena Text: multi-turnNot measured1361Only MiniMax M2 measured
LMArena Text: longer queriesNot measured1331Only MiniMax M2 measured
LMArena Text: writing and languageNot measured1295Only MiniMax M2 measured
LMArena Text: entertainment and mediaNot measured1298Only MiniMax M2 measured
Neither model has a result on the other 27 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-5.5 Pro$0.120Fits in one request
MiniMax M2$0.0008Fits in one request

MiniMax M2 costs less

Repository review

50K input + 3K output tokens

GPT-5.5 Pro$2.04Fits in one request
MiniMax M2$0.016Fits in one request

MiniMax M2 costs less

Agent loop

200K input + 10K output tokens

GPT-5.5 Pro$7.80Fits in one request
MiniMax M2$0.061Exceeds the context window

MiniMax M2 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-5.5 Pro and MiniMax M2
SpecificationOpenAI GPT-5.5 ProMiniMax M2
MakerOpenAIMiniMax
WeightsNo public weights listedOpen weights
ReleasedApril 24, 2026October 23, 2025
Context window1.05M205K
Input $/Mtok$30.00$0.255
Output $/Mtok$180.00$1.02
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computable$0.702
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.5 Pro better than MiniMax M2 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-5.5 Pro for a larger context window (1.05M against 205K tokens).

Which is cheaper, GPT-5.5 Pro or MiniMax M2?

GPT-5.5 Pro costs $30.00 per million input tokens and $180.00 per million output tokens; MiniMax M2 costs $0.255 and $1.02. Cost per solved task is known for MiniMax M2 only.

Which has the bigger context window, GPT-5.5 Pro or MiniMax M2?

GPT-5.5 Pro, with 1.05M tokens against 205K.

Has any benchmark tested both GPT-5.5 Pro and MiniMax M2?

No benchmark has tested both yet. GPT-5.5 Pro has results on Epoch Capabilities Index, ARC-AGI and ARC-AGI-2; MiniMax M2 on SWE-bench Verified, LMArena WebDev and LiveCodeBench (Artificial Analysis run). Compare them on price and context instead. Data as of October 22, 2026.

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