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GPT-5.6 Sol Pro vs MiniMax M2-her

MiniMax M2-her costs 16.7x less per output token than GPT-5.6 Sol Pro ($1.20 vs $20.00 per million). Updated October 22, 2026; no benchmark has tested both models yet.

Replace GPT-5.6 Sol Pro Replace MiniMax M2-her
GPT-5.6 Sol ProOpenAI
Coding
No data
Overall
No data
Output $/M
$20.00
MiniMax M2-herMiniMax
Coding
No data
Overall
No data
Output $/M
$1.20
vs $20.00 vs $1.20 per 1M output tokens. MiniMax M2-her is 16.7x cheaper.

GPT-5.6 Sol Pro or MiniMax M2-her: which to pick

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

Pick GPT-5.6 Sol Pro for a larger context window (1.05M against 66K tokens).

Model AGPT-5.6 Sol ProOpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BMiniMax M2-herMiniMaxNot benchmarkedNo coding benchmarkNo cost per solved task

No benchmark has tested both yet. GPT-5.6 Sol Pro has results on WeirdML, APEX-Agents and SimpleBench; MiniMax M2-her has none yet. 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-5.6 Sol Pro not benchmarked, MiniMax M2-her 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-5.6 Sol Pro $20.00 against MiniMax M2-her $1.20 per million output tokens, 16.7x apart.
Context window
GPT-5.6 Sol Pro takes 1.05M tokens, MiniMax M2-her 66K.

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 Index1 board measured
Coding benchmarks for GPT-5.6 Sol Pro and MiniMax M2-her
BenchmarkGPT-5.6 Sol ProMiniMax M2-herLeader
WeirdML89.4%Not measuredOnly GPT-5.6 Sol Pro measured
Neither model has a result on the other 42 boards here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Agentic work benchmarks for GPT-5.6 Sol Pro and MiniMax M2-her
BenchmarkGPT-5.6 Sol ProMiniMax M2-herLeader
APEX-Agents51.4%Not measuredOnly GPT-5.6 Sol Pro measured
Neither model has a result on the other 41 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Reasoning benchmarks for GPT-5.6 Sol Pro and MiniMax M2-her
BenchmarkGPT-5.6 Sol ProMiniMax M2-herLeader
SimpleBench71.7%Not measuredOnly GPT-5.6 Sol Pro measured
Chess puzzles68.0%Not measuredOnly GPT-5.6 Sol Pro measured
Neither model has a result on the other 21 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Math benchmarks for GPT-5.6 Sol Pro and MiniMax M2-her
BenchmarkGPT-5.6 Sol ProMiniMax M2-herLeader
FrontierMath, tier 480.5%Not measuredOnly GPT-5.6 Sol Pro measured
Neither model has a result on the other 13 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
General benchmarks for GPT-5.6 Sol Pro and MiniMax M2-her
BenchmarkGPT-5.6 Sol ProMiniMax M2-herLeader
DTBench96.0%Not measuredOnly GPT-5.6 Sol Pro measured
LMCA59.2%Not measuredOnly GPT-5.6 Sol Pro measured
Neither model has a result on the other 46 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 Pro$0.014Fits in one request
MiniMax M2-her$0.0009Fits in one request

MiniMax M2-her costs less

Repository review

50K input + 3K output tokens

GPT-5.6 Sol Pro$0.260Fits in one request
MiniMax M2-her$0.019Fits in one request

MiniMax M2-her costs less

Agent loop

200K input + 10K output tokens

GPT-5.6 Sol Pro$1.00Fits in one request
MiniMax M2-her$0.072Exceeds the context window

MiniMax M2-her 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 Pro and MiniMax M2-her
SpecificationOpenAI GPT-5.6 Sol ProMiniMax M2-her
MakerOpenAIMiniMax
WeightsNo public weights listedNo public weights listed
ReleasedJuly 9, 2026January 23, 2026
Context window1.05M66K
Input $/Mtok$4.00$0.30
Output $/Mtok$20.00$1.20
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.6 Sol Pro better than MiniMax M2-her for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-5.6 Sol Pro for a larger context window (1.05M against 66K tokens).

Which is cheaper, GPT-5.6 Sol Pro or MiniMax M2-her?

GPT-5.6 Sol Pro costs $4.00 per million input tokens and $20.00 per million output tokens; MiniMax M2-her costs $0.30 and $1.20. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-5.6 Sol Pro or MiniMax M2-her?

GPT-5.6 Sol Pro, with 1.05M tokens against 66K.

Has any benchmark tested both GPT-5.6 Sol Pro and MiniMax M2-her?

No benchmark has tested both yet. GPT-5.6 Sol Pro has results on WeirdML, APEX-Agents and SimpleBench; MiniMax M2-her has none yet. Compare them on price and context instead. Data as of October 22, 2026.

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