Which is better for coding — MiniMax M2.7 or Step-3.5-Flash?

Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.

Which model is cheaper — MiniMax M2.7 or Step-3.5-Flash?

Step-3.5-Flash is cheaper for input: $0.10 per 1M tokens vs $0.30.

Which has a larger context window — MiniMax M2.7 or Step-3.5-Flash?

MiniMax M2.7 supports a larger context: 205,000 tokens vs 65,536.

MiniMax M2.7 vs Step-3.5-Flash: Specs & Benchmark Comparison

Characteristic	MiniMax M2.7	Step-3.5-Flash
Company	MiniMax	StepFun
Release Date	March 18, 2026	February 1, 2026
Parameters	—	196B
Multimodal	No	Yes
Context (input)	205K	66K
Context (output)	100K	8K
Input Price / 1M	$0.30	$0.10
Output Price / 1M	$1.20	$0.40
Average Score	0.0	0.8

Verdict

MiniMax M2.7 leads in 2 out of 3 comparison categories.

API Cost

Step-3.5-Flash is 3.0x cheaper: input $0.10/1M vs $0.30/1M tokens.

Context Window

MiniMax M2.7 supports a larger context: 205K vs 66K tokens.

Recency

MiniMax M2.7 is newer: released 3/18/2026 vs 2/1/2026.

More About These Models

MiniMax M2.7

MiniMax — specs, benchmarks, API

Step-3.5-Flash

StepFun — specs, benchmarks, API

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MiniMax M2.5 vs MiniMax M2.7 MiniMax M2.1 vs MiniMax M2.7 GPT-5.4 Pro vs MiniMax M2.7 GPT-5.2 Codex vs MiniMax M2.7 GLM-4.7-Flash vs MiniMax M2.7 Mercury 2 vs MiniMax M2.7

All model comparisons →

The MiniMax M2.7 and Step-3.5-Flash comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the MiniMax M2.7 or Step-3.5-Flash page. See also the complete list of AI model comparisons.