MiniMax M2.7 vs MiniMax M3

Name: MiniMax M2.7
Author: MiniMax

MiniMax M3 is the June 2026 successor to M2.7 for long-context, multimodal, and computer-use agent workflows. M3 moves to MiniMax Sparse Attention, expands the working window to 1M tokens, adds native image/video input, and reports stronger coding-agent scores; M2.7 remains the cheaper text-only option when a 205K context window is enough.

Pick MiniMax M3 for million-token documents, large repositories, image/video inputs, computer-use automation, and the stronger current coding-agent benchmark set: 59.0% SWE-Bench Pro, 66.0% Terminal-Bench 2.1, 74.2% MCP-Atlas, and 83.5 BrowseComp. Pick MiniMax M2.7 for high-volume text-only work under roughly 200K tokens where the lower $0.30/M input route matters more than M3's added modalities and long-context efficiency.

Decision scorecard

Local evidence first

Signal	MiniMax M2.7	MiniMax M3	How to read it
Best for	reasoning-heavy apps, tool-calling agents, and provider-routed production	reasoning-heavy apps, multimodal apps, and tool-calling agents	Use-case synthesis from product type, capability flags, context, and provider data.
Decision fit	Coding, RAG, and Agents	Coding, RAG, and Agents	Primary workload tags from local decision data.
Context window	205k	1m	Higher is better when prompts, retrieval chunks, or transcripts are large.
Cheapest output	$1.20/1M tokens	$1.20/1M tokens	Cheapest tracked provider route; verify your exact region and tier.
Provider routes	4 tracked	2 tracked	Broader coverage can reduce vendor lock-in and fallback risk.
Shared benchmarks	4 shared	SWE-bench Pro leader	Visible benchmark lead is 2.8 points on SWE-bench Pro.

Decision tradeoffs

Choose MiniMax M2.7 when...

MiniMax M2.7 has broader tracked provider coverage for fallback and route flexibility.
Local decision data tags MiniMax M2.7 for Coding, RAG, and Agents.

Choose MiniMax M3 when...

MiniMax M3 holds a shared-benchmark lead on SWE-bench Pro, ahead by 2.8 points.
MiniMax M3 has the larger context window for long prompts, retrieval packs, or transcript analysis.
MiniMax M3 uniquely exposes Vision, Multimodal, and Code execution in local model data.
Local decision data tags MiniMax M3 for Coding, RAG, and Agents.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output route or tier on this page.

Lower estimate MiniMax M2.7

Requests / monthInput tokens / requestOutput tokens / request

MiniMax M2.7

$523

Cheapest tracked route/tier: OpenRouter

MiniMax M3

$540

Cheapest tracked route/tier: MiniMax <=512K input tokens (standard)

Estimated monthly gap: $16.80. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

MiniMax M2.7 -> MiniMax M3

Provider overlap exists on OpenRouter; start route-level A/B tests there.
Cheapest tracked output pricing is tied, so migration risk shifts to quality, latency, and provider packaging.
MiniMax M3 adds Vision, Multimodal, and Code execution in local capability data.

MiniMax M3 -> MiniMax M2.7

Provider overlap exists on OpenRouter; start route-level A/B tests there.
Cheapest tracked output pricing is tied, so migration risk shifts to quality, latency, and provider packaging.
Check replacement coverage for Vision, Multimodal, and Code execution before moving production traffic.

Specs

Specification	MiniMax M2.7 MiniMax	MiniMax M3 MiniMax
Released	2026-03-18	2026-06-01
Context window	205k	1m
Parameters	10B active	—
Architecture	Decoder Only	Decoder Only
License	MITOSI-approved	MiniMax Community License
Openness	Open source	Open weights
Weights	Unknown	Available
Code	Unknown	Available·MITOSI-approved
Commercial use	Commercial use: permitted	Commercial use: conditional
Knowledge cutoff	-	-

Pricing and availability

Pricing attribute	MiniMax M2.7	MiniMax M3
Input price	$0.28/1M tokens	<=512K input tokens (standard) $0.30/1M tokens Permanent standard-tier price for <=512K input tokens; cache_read stores this tier's $0.06/M cache-read price. >512K input tokens $0.60/1M tokens Long-context tier for inputs above 512K; cache-read price is $0.12/M per MiniMax pricing docs.
Output price	$1.20/1M tokens	<=512K input tokens (standard) $1.20/1M tokens Permanent standard-tier price for <=512K input tokens; cache_read stores this tier's $0.06/M cache-read price. >512K input tokens $2.40/1M tokens Long-context tier for inputs above 512K; cache-read price is $0.12/M per MiniMax pricing docs.
Providers	OpenRouter Fireworks AI Vercel AI Gateway Novita AI	MiniMax OpenRouter

Capabilities

Capability	MiniMax M2.7	MiniMax M3
Vision	No	Yes
Multimodal	No	Yes
Reasoning	Yes	Yes
JSON / Tool use	Yes	Yes
Structured outputs	Yes	Yes
Code execution	No	Yes
IDE integration	No	No
Computer use	No	No
Parallel agents	No	No

Benchmarks

Benchmark	MiniMax M2.7	MiniMax M3
SWE-bench Pro	56.2	59.0
Google-Proof Q&A	87.4	92.9
Terminal-Bench 2.0	57.0	66.0
GeneBench-Pro	0.6	0.9

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Model pages

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Last reviewed: 2026-10-07. Data sourced from public model cards and provider documentation.

Both models

MiniMax M2.7 MiniMax M3