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Every score has a dated snapshot.

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  3. MiniMax M2.5 vs OpenAI o1

Pairwise benchmark snapshot · Aug 1, 2026

MiniMax M2.5 vs OpenAI o1 benchmark

In this head-to-head showdown, OpenAI o1 delivers higher overall intelligence and human-preferred responses (Elo 1,512 vs 1,478), while MiniMax M2.5 leads in SWE-bench software engineering benchmarks (75.8%), while MiniMax M2.5 is more budget-friendly at $1.2/1M 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: Choose OpenAI o1 if your priority is peak reasoning, complex code generation, and top preference Elo. Choose MiniMax M2.5 if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
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Verified Head-to-Head Advantage Breakdown

10 direct benchmark disciplines evaluated across capability, speed, and cost

MiniMax M2.5 (7)OpenAI o1 (3)
MiniMax M2.5
7 of 10 Wins
✓Coding Elo✓SWE-bench✓Time to first token✓Output speed✓Input price✓Output price✓Context window
OpenAI o1
3 of 10 Wins
✓Preference Elo✓LiveBench✓GPQA Diamond
MiniMax
Leads 7 of 10 metrics
MiniMax M2.5

MiniMax coding model. Tied near the top of official SWE-bench bash-only in Feb 2026.

Elo 1,478$1.2/1M out
OpenAI
Leads 3 of 10 metrics
OpenAI o1

OpenAI pioneer reasoning foundation model designed for complex science, math, and multi-step reasoning.

Elo 1,512$60/1M out

OpenAI o1 Thinking Depth & Cost Scaler

Model B

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 M2.5
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Gemini 3 Provs Grok 4.6vs DeepSeek V4 Pro
Preference LeaderOpenAI o1 Wins

OpenAI o1

Δ 34 Arena Elo pts

Throughput LeaderMiniMax M2.5 Wins

MiniMax M2.5

90 tok/s

Value per Dollar LeaderMiniMax M2.5 Wins

MiniMax M2.5

$1.2 / 1M output

Capability Percentiles

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

Multi-Dimensional Capability Radar

Leaders Matchup Capability Radar

Comparing top Western standard models with China's leading frontier rival across 6 skill dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect
Percentile 0–100
Head-to-Head Comparison

Overall Matchup Breakdown

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

MiniMax M2.5 (7)vsOpenAI o1 (3)
MiniMax M2.5: 7W (70%)Overall: MiniMax M2.5OpenAI o1: 3W (30%)
← MiniMax M2.5OpenAI o1 →
🏆OpenAI o1(3/5)

Intelligence & Reasoning

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

Benchmark
MiniMax M2.5vsOpenAI o1
Preference Elo
1,478vs1,512+34
Coding Elo
1,536vs1,485+51
SWE-bench
75.8%vs48.9%+26.9%
LiveBench
64.4%vs65.4%+1%
GPQA Diamond
76.2%vs78%+1.8%
MiniMax M2.5: 2WOpenAI o1: 3W
🏆MiniMax M2.5(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
MiniMax M2.5vsOpenAI o1
Output speed
90 tok/svs45 tok/s+45 tok/s
Time to first token
250 msvs420 ms+170 ms
MiniMax M2.5: 2WOpenAI o1: 0W
🏆MiniMax M2.5(3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
MiniMax M2.5vsOpenAI o1
Output price
$1.2/1Mvs$60/1M+$58.8/1M
Input price
$0.3/1Mvs$15/1M+$14.7/1M
Context window
205kvs200k+5k
MiniMax M2.5: 3WOpenAI o1: 0W

Side-by-Side Benchmark Matrix

Preference Elo+34
MiniMax M2.51,478
seed-bootstrap · Aug 1, 2026
OpenAI o11,512
seed-bootstrap · Aug 1, 2026
Coding Elo+51
MiniMax M2.51,536
seed-bootstrap · Aug 1, 2026
OpenAI o11,485
seed-bootstrap · Aug 1, 2026
LiveBench+1%
MiniMax M2.564.4%
seed-bootstrap · Aug 1, 2026
OpenAI o165.4%
seed-bootstrap · Aug 1, 2026
SWE-bench+26.9%
MiniMax M2.575.8%
seed-bootstrap · Aug 1, 2026
OpenAI o148.9%
seed-bootstrap · Aug 1, 2026
GPQA Diamond+1.8%
MiniMax M2.576.2%
seed-bootstrap · Aug 1, 2026
OpenAI o178%
seed-bootstrap · Aug 1, 2026
Time to first token+170 ms
MiniMax M2.5250 ms
seed-bootstrap · Aug 1, 2026
OpenAI o1420 ms
seed-bootstrap · Aug 1, 2026
Output speed+45 tok/s
MiniMax M2.590 tok/s
seed-bootstrap · Aug 1, 2026
OpenAI o145 tok/s
seed-bootstrap · Aug 1, 2026
Input price+$14.7/1M
MiniMax M2.5$0.3/1M
seed-bootstrap · Aug 1, 2026
OpenAI o1$15/1M
seed-bootstrap · Aug 1, 2026
Output price+$58.8/1M
MiniMax M2.5$1.2/1M
seed-bootstrap · Aug 1, 2026
OpenAI o1$60/1M
seed-bootstrap · Aug 1, 2026
Context window+5k
MiniMax M2.5205k
seed-bootstrap · Aug 1, 2026
OpenAI o1200k
seed-bootstrap · Aug 1, 2026
BenchmarkMiniMax M2.5OpenAI o1Advantage Delta
Preference Elo
1,478
seed-bootstrap · Aug 1, 2026
1,512
seed-bootstrap · Aug 1, 2026
+34
Coding Elo
1,536
seed-bootstrap · Aug 1, 2026
1,485
seed-bootstrap · Aug 1, 2026
+51
LiveBench
64.4%
seed-bootstrap · Aug 1, 2026
65.4%
seed-bootstrap · Aug 1, 2026
+1%
SWE-bench
75.8%
seed-bootstrap · Aug 1, 2026
48.9%
seed-bootstrap · Aug 1, 2026
+26.9%
GPQA Diamond
76.2%
seed-bootstrap · Aug 1, 2026
78%
seed-bootstrap · Aug 1, 2026
+1.8%
Time to first token
250 ms
seed-bootstrap · Aug 1, 2026
420 ms
seed-bootstrap · Aug 1, 2026
+170 ms
Output speed
90 tok/s
seed-bootstrap · Aug 1, 2026
45 tok/s
seed-bootstrap · Aug 1, 2026
+45 tok/s
Input price
$0.3/1M
seed-bootstrap · Aug 1, 2026
$15/1M
seed-bootstrap · Aug 1, 2026
+$14.7/1M
Output price
$1.2/1M
seed-bootstrap · Aug 1, 2026
$60/1M
seed-bootstrap · Aug 1, 2026
+$58.8/1M
Context window
205k
seed-bootstrap · Aug 1, 2026
200k
seed-bootstrap · Aug 1, 2026
+5k
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 98% with MiniMax M2.5
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
MiniMax M2.5$28.50 / mo
In: $10.5Out: $18
OpenAI o1$1,425.00 / mo
In: $525Out: $900
Estimated Cost Delta

MiniMax M2.5 is estimated to save $1,396.50/month ($16,758/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    MiniMax M2.5:Pick MiniMax M2.5 when repo-level coding accuracy is the constraint.
  • 2
    MiniMax M2.5:Pick MiniMax M2.5 when time-to-first-token matters more than peak Elo.
  • 3
    OpenAI o1:Pick OpenAI o1 as the default general assistant.

Recommended Workload Routing

Repo / coding agentsMiniMax M2.5

Higher SWE-bench (75.8%).

High-volume chatMiniMax M2.5

Lower output list price ($1.2/1M).

Voice / low-latency UIMiniMax M2.5

Lower TTFT (250 ms).

Long-document RAGMiniMax M2.5

Larger window (205k).

Screenshots / visionOpenAI o1

OpenAI o1 is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsMiniMax M2.5Higher SWE-bench (75.8%).
High-volume chatMiniMax M2.5Lower output list price ($1.2/1M).
Voice / low-latency UIMiniMax M2.5Lower TTFT (250 ms).
Long-document RAGMiniMax M2.5Larger window (205k).
Screenshots / visionOpenAI o1OpenAI o1 is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news
launchFeb 12, 2026

MiniMax M2.5: the Feb 2026 SWE-bench specialist still on the board

Tied near the top of official SWE-bench bash-only in Feb 2026. Coding lists should still see it.

Community Sentiment

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
MiniMax

MiniMax M2.5

Elo 1,478
SWE-bench75.8%
Speed (tok/s)90 tok/s
Input / 1M Tokens$0.3/1M
Output / 1M Tokens$1.2/1M
OpenAI

OpenAI o1

Elo 1,512
SWE-bench48.9%
Speed (tok/s)45 tok/s
Input / 1M Tokens$15/1M
Output / 1M Tokens$60/1M

Frequently Asked Questions

Which is better overall, MiniMax M2.5 or OpenAI o1?
OpenAI o1 has the higher preference Elo in our latest snapshot (1,512). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, MiniMax M2.5 or OpenAI o1?
MiniMax M2.5 leads SWE-bench at 75.8% vs 48.9%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?
MiniMax M2.5 output tokens are $1.2/1M versus $60/1M. Input prices and retry rates still move the real bill.
Which is faster, MiniMax M2.5 or OpenAI o1?
MiniMax M2.5 has the lower time-to-first-token (250 ms vs 420 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?
MiniMax M2.5 accepts 205k tokens versus 200k.
Can I self-host either model?
MiniMax M2.5 is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.
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 M2.5 and OpenAI o1 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • launch · Feb 12, 2026

    MiniMax M2.5: the Feb 2026 SWE-bench specialist still on the board

Similar Head-to-Head Comparisons

All MiniMax M2.5 matchups →|All OpenAI o1 matchups →
OpenAI o1 vs GPT-4o (previous gpt-flagship)OpenAI o1 vs GPT-4.5 Orion (next gpt-flagship)GPT-5.6 Terra vs OpenAI o1GPT-5 vs OpenAI o1OpenAI o3-mini vs OpenAI o1GPT-5.6 Sol vs OpenAI o1