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© 2026 CompareLLM. Public benchmark data aggregated from Arena Elo, LiveBench, SWE-bench & OpenRouter.

Every score has a dated snapshot.

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  3. MiniMax: MiniMax M1 vs OpenAI: o1

Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

MiniMax: MiniMax M1 vs OpenAI: o1 benchmark

In this head-to-head showdown, MiniMax: MiniMax M1 is more budget-friendly at $2.2/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Executive Comparison Verdict

Bottom Line: Both MiniMax: MiniMax M1 and OpenAI: o1 present distinct architectural strengths. Compare the verified benchmark matrix below to choose the model tailored to your specific application requirements.
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MiniMax
MiniMax: MiniMax M1

Auto-discovered from OpenRouter (minimax/minimax-m1). Preview until a second source matches.

$2.2/1M out
OpenAI
OpenAI: o1

Auto-discovered from OpenRouter (openai/o1). Preview until a second source matches.

Elo 1,512$60/1M out

OpenAI: o1 Thinking Depth & Cost Scaler

Simulate accuracy gains vs added response time & token cost

Mode: Medium (Standard)

Reasoning models “think before answering” by generating internal reasoning tokens. Higher effort improves math, coding, and logic accuracy, but increases response delay and token costs.

Thinking Delay
420 ms
Standard speed
Reasoning Depth
~1,500
Internal tokens
Cost / 1k Calls
$115.50
4.5× standard bill
Accuracy Boost
+4.5% accuracy
STEM & SWE-bench
Top Rival Showdowns for MiniMax: MiniMax M1
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Gemini 3 Provs Grok 4.6vs DeepSeek V4 Pro
Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar Leader

MiniMax: MiniMax M1

$2.2 / 1M output

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

Tap any node to inspect
Percentile 0–100
Dimensional AdvantageOpenAI: o1 4/6
Head-to-Head Comparison

Overall Matchup Breakdown

Category wins across reasoning intelligence, generation speed, and token cost.

MiniMax: MiniMax M1 (3)vsOpenAI: o1 (7)
MiniMax: MiniMax M1: 3W (30%)Overall: OpenAI: o1OpenAI: o1: 7W (70%)
← MiniMax: MiniMax M1OpenAI: o1 →
OpenAI: o1 (5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo
—vs1,512
Coding Elo
—vs1,485
SWE-bench
—vs48.9%
LiveBench
—vs65.4%
GPQA Diamond
—vs78%
MiniMax: MiniMax M1: 0WOpenAI: o1: 5W
OpenAI: o1 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed
—vs45 tok/s
Time to first token
—vs420 ms
MiniMax: MiniMax M1: 0WOpenAI: o1: 2W
MiniMax: MiniMax M1 (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price
$2.2/1Mvs$60/1M
Input price
$0.55/1Mvs$15/1M
Context window
1Mvs200k
MiniMax: MiniMax M1: 3WOpenAI: o1: 0W

Side-by-Side Benchmark Matrix

Preference Elo
MiniMax: MiniMax M1—
OpenAI: o11,512
lmarena · Aug 17, 2026
Coding Elo
MiniMax: MiniMax M1—
OpenAI: o11,485
lmarena · Aug 17, 2026
LiveBench
MiniMax: MiniMax M1—
OpenAI: o165.4%
livebench · Aug 17, 2026
SWE-bench
MiniMax: MiniMax M1—
OpenAI: o148.9%
swebench · Aug 17, 2026
GPQA Diamond
MiniMax: MiniMax M1—
OpenAI: o178%
seed-bootstrap · Aug 1, 2026
Time to first token
MiniMax: MiniMax M1—
OpenAI: o1420 ms
seed-bootstrap · Aug 1, 2026
Output speed
MiniMax: MiniMax M1—
OpenAI: o145 tok/s
seed-bootstrap · Aug 1, 2026
Input priceMiniMax: MiniMax M1 (+$14.45/1M)
MiniMax: MiniMax M1$0.55/1M
openrouter · Aug 17, 2026
OpenAI: o1$15/1M
openrouter · Aug 17, 2026
Output priceMiniMax: MiniMax M1 (+$57.8/1M)
MiniMax: MiniMax M1$2.2/1M
openrouter · Aug 17, 2026
OpenAI: o1$60/1M
openrouter · Aug 17, 2026
Context windowMiniMax: MiniMax M1 (+800k)
MiniMax: MiniMax M11M
openrouter · Aug 17, 2026
OpenAI: o1200k
openrouter · Aug 17, 2026
BenchmarkMiniMax: MiniMax M1OpenAI: o1Advantage Delta
Preference Elo—
1,512
lmarena · Aug 17, 2026
—
Coding Elo—
1,485
lmarena · Aug 17, 2026
—
LiveBench—
65.4%
livebench · Aug 17, 2026
—
SWE-bench—
48.9%
swebench · Aug 17, 2026
—
GPQA Diamond—
78%
seed-bootstrap · Aug 1, 2026
—
Time to first token—
420 ms
seed-bootstrap · Aug 1, 2026
—
Output speed—
45 tok/s
seed-bootstrap · Aug 1, 2026
—
Input price
$0.55/1M
openrouter · Aug 17, 2026
$15/1M
openrouter · Aug 17, 2026
MiniMax: MiniMax M1 (+$14.45/1M)
Output price
$2.2/1M
openrouter · Aug 17, 2026
$60/1M
openrouter · Aug 17, 2026
MiniMax: MiniMax M1 (+$57.8/1M)
Context window
1M
openrouter · Aug 17, 2026
200k
openrouter · Aug 17, 2026
MiniMax: MiniMax M1 (+800k)
Interactive Simulator (USD)

Workload Cost & Savings Calculator

Simulate monthly production API costs in USD (US Dollar).

Save up to 96% with MiniMax: MiniMax M1
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
MiniMax: MiniMax M1$52.25 / mo
In: $19.25Out: $33
OpenAI: o1$1,425.00 / mo
In: $525Out: $900
Estimated Cost Delta

MiniMax: MiniMax M1 is estimated to save $1,372.75/month ($16,473/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    MiniMax: MiniMax M1:Pick MiniMax: MiniMax M1 when you are optimizing output cost.
  • 2
    MiniMax: MiniMax M1:Pick MiniMax: MiniMax M1 for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatMiniMax: MiniMax M1

Lower output list price ($2.2/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGMiniMax: MiniMax M1

Larger window (1M).

Screenshots / visionOpenAI: o1

OpenAI: o1 is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatMiniMax: MiniMax M1Lower output list price ($2.2/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGMiniMax: MiniMax M1Larger window (1M).
Screenshots / visionOpenAI: o1OpenAI: o1 is the side marked multimodal in the catalog.
Community Sentiment

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CompareLLM Matrix

Verified head-to-head card

LIVE
VS
MiniMax

MiniMax: MiniMax M1

Elo n/a
LiveBench—
SWE-bench—
Speed—
Output cost$2.2/1M
OpenAI

OpenAI: o1

Elo 1,512
LiveBench65.4%
SWE-bench48.9%
Speed45 tok/s
Output cost$60/1M

Frequently Asked Questions

Which is better overall, MiniMax: MiniMax M1 or OpenAI: o1?
We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, MiniMax: MiniMax M1 or OpenAI: o1?
SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?
MiniMax: MiniMax M1 output tokens are $2.2/1M versus $60/1M. Input prices and retry rates still move the real bill.
Which is faster, MiniMax: MiniMax M1 or OpenAI: o1?
We do not have TTFT for both models.
Which has the larger context window?
MiniMax: MiniMax M1 accepts 1M tokens versus 200k.
Can I self-host either model?
Neither model is marked open-weights here. You are comparing hosted APIs.
Are these scores from CompareLLM’s own evals?
No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?
Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. MiniMax: MiniMax M1 and OpenAI: o1 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All MiniMax: MiniMax M1 matchups →|All OpenAI: o1 matchups →
OpenAI: o1 vs GPT-4o (previous gpt-flagship)OpenAI: o1 vs GPT-4.5 Orion (next gpt-flagship)GPT-5 vs OpenAI: o1GPT-5.6 Sol vs OpenAI: o1GPT-5.6 Terra vs OpenAI: o1MiniMax M2.5 vs OpenAI: o1