Compare/MiniMax-M2.7 vs Solar Pro 4

MiniMax-M2.7vsSolar Pro 4

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

MiniMax

MiniMax-M2.7

Input
$0.3/M
Output
$1.2/M
Speed
61 tok/s
TTFT
1.75s
Upstage

Solar Pro 4

Input
$0.3/M
Output
$1.2/M
Speed
47 tok/s
TTFT
2.53s

Winner by Category

Cheaper
Tie
Faster (tok/s)
MiniMax-M2.7
Lower Latency
MiniMax-M2.7
Benchmarks (0-2)
Solar Pro 4

Pricing Comparison

MetricMiniMax-M2.7Solar Pro 4
Input ($/M tokens)$0.3$0.3
Output ($/M tokens)$1.2$1.2
Cost for 1M input + 100K output tokens:
MiniMax-M2.7$0.42
Solar Pro 4$0.42

Speed Comparison

Output Speed (tokens/s) — higher is better
MiniMax-M2.7
61 tok/s
Solar Pro 4
47 tok/s
Time to First Token (seconds) — lower is better
MiniMax-M2.7
1.75s
Solar Pro 4
2.53s

Editorial Analysis

Verdict. Solar Pro 4 takes the aggregate benchmark matchup 2–0 across 2 categories. Real workloads usually care about a handful of specific tasks — see the per-benchmark table above.

Pricing. Both models sit in the budget bracket for output-token pricing. At 1.0× the per-million-token cost, Solar Pro 4 is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). Solar Pro 4 makes more sense when output volume is low and absolute reasoning quality justifies the premium.

Strengths. MiniMax-M2.7 is strongest on Coding Index (52.6), Intelligence Index (38.9). Solar Pro 4 leads on Coding Index (52.7), Intelligence Index (41.6).

Speed. On throughput, MiniMax-M2.7 generates tokens at 61 tok/s versus 47 tok/s — about 23% faster. On time-to-first-token, MiniMax-M2.7 responds in 1750ms vs 2530ms, which matters most for chat-style UIs.

Provider. MiniMax and Upstage sell to overlapping but distinct developer audiences: MiniMax tends to ship frontier reasoning models with premium positioning, while Upstage 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): MiniMax-M2.7 costs $27.00 ($324/year); Solar Pro 4 costs $27.00 ($324/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): MiniMax-M2.7 ≈ $3.90/run, Solar Pro 4 ≈ $3.90/run. At agent/realtime scale (200M input / 100M output per million requests): MiniMax-M2.7 ≈ $180/run, Solar Pro 4 ≈ $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.

Head-to-head deltas

  • Aggregate benchmark score (sum across 12 categories, capped at 100): MiniMax-M2.7 = 92, Solar Pro 4 = 94. Within 15% — effectively equivalent if both meet the threshold your product requires.

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
38.941.6
Coding Index
52.652.7
Math Index
GPQA Diamond
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
SciCode
IFBench
TerminalBench
MiniMax-M2.70 wins
2 winsSolar Pro 4

Frequently Asked Questions

Which is cheaper, MiniMax-M2.7 or Solar Pro 4?

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

Which model performs better on benchmarks?

Solar Pro 4 wins 2 out of 12 benchmarks compared to 0 for MiniMax-M2.7. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

MiniMax-M2.7 generates tokens faster at 61 tok/s vs 47 tok/s. MiniMax-M2.7 also has lower time-to-first-token (1.75s vs 2.53s).

When should I use MiniMax-M2.7 vs Solar Pro 4?

Choose based on your priorities: both are similarly priced, Solar Pro 4 for stronger benchmark performance, and MiniMax-M2.7 for faster generation. For latency-sensitive apps, check the TTFT comparison above.