Compare/Inkling Small vs MiniMax-M2.1

Inkling SmallvsMiniMax-M2.1

Side-by-side comparison of pricing, 12 benchmarks, and generation speed.

Thinking Machines

Inkling Small

Input
$0.3/M
Output
$1.2/M
Speed
107 tok/s
TTFT
2.71s
MiniMax

MiniMax-M2.1

Input
$0.3/M
Output
$1.2/M
Speed
96 tok/s
TTFT
1.77s

Winner by Category

Cheaper
Tie
Faster (tok/s)
Inkling Small
Lower Latency
MiniMax-M2.1
Benchmarks (2-0)
Inkling Small

Pricing Comparison

MetricInkling SmallMiniMax-M2.1
Input ($/M tokens)$0.3$0.3
Output ($/M tokens)$1.2$1.2
Cost for 1M input + 100K output tokens:
Inkling Small$0.42
MiniMax-M2.1$0.42

Speed Comparison

Output Speed (tokens/s) — higher is better
Inkling Small
107 tok/s
MiniMax-M2.1
96 tok/s
Time to First Token (seconds) — lower is better
Inkling Small
2.71s
MiniMax-M2.1
1.77s

Editorial Analysis

Verdict. Inkling Small wins the overall benchmark matchup 2–0 across 2 overlapping categories, but raw benchmark score is only one input to the decision.

Pricing. Both models sit in the budget bracket for output-token pricing. At 1.0× the per-million-token cost, MiniMax-M2.1 is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). MiniMax-M2.1 makes more sense when output volume is low and absolute reasoning quality justifies the premium.

Strengths. Inkling Small is strongest on Coding Index (52.9), Intelligence Index (41.2). MiniMax-M2.1 leads on Intelligence Index (32.1).

Speed. Throughput is comparable — 107 tok/s vs 96 tok/s — so generation speed shouldn't drive your choice here. Look at the per-benchmark wins instead.

Provider. Thinking Machines and MiniMax sell to overlapping but distinct developer audiences: Thinking Machines tends to ship frontier reasoning models with premium positioning, while MiniMax often prices more aggressively. Your existing vendor relationships, billing, and SLA preferences may matter as much as the raw numbers above.

Workload cost. Workload scenarios (per million requests at 30M input + 15M output tokens): Inkling Small costs $27.00 ($324/year); MiniMax-M2.1 costs $27.00 ($324/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): Inkling Small ≈ $3.90/run, MiniMax-M2.1 ≈ $3.90/run. At agent/realtime scale (200M input / 100M output per million requests): Inkling Small ≈ $180/run, MiniMax-M2.1 ≈ $180/run.

Recommendation. Both models have legitimate use cases — the right answer depends on whether you are optimizing for benchmark ceiling, latency, or unit cost. Start with the cheaper / faster model, evaluate against your specific task, and only switch if the upgrade shows a meaningful lift.

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
41.232.1
Coding Index
52.9
Math Index
GPQA Diamond
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
SciCode
IFBench
TerminalBench
Inkling Small2 wins
0 winsMiniMax-M2.1

Frequently Asked Questions

Which is cheaper, Inkling Small or MiniMax-M2.1?

Both models have similar pricing. Check the detailed breakdown above for input vs output token costs.

Which model performs better on benchmarks?

Inkling Small wins 2 out of 12 benchmarks compared to 0 for MiniMax-M2.1. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Inkling Small generates tokens faster at 107 tok/s vs 96 tok/s. However, MiniMax-M2.1 has lower time-to-first-token (1.77s vs 2.71s).

When should I use Inkling Small vs MiniMax-M2.1?

Choose based on your priorities: both are similarly priced, Inkling Small for stronger benchmark performance, and Inkling Small for faster generation. For latency-sensitive apps, check the TTFT comparison above.