Pairwise benchmark snapshot · Aug 16, 2026

MiniMax M2.5 vs Qwen QwQ 32B benchmark

Name: MiniMax M2.5 vs Qwen QwQ 32B AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares MiniMax M2.5 (MiniMax) and Qwen QwQ 32B (Alibaba) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, Qwen QwQ 32B is ahead by 17 points (1,495 vs 1,478; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, MiniMax M2.5 resolves 75.8% versus 67.5% (seed-bootstrap (Aug 1, 2026)). MiniMax M2.5 streams faster (90 tok/s) while MiniMax M2.5 is the cheaper output token ($0.9/1M). MiniMax M2.5 has the larger context window (205k tokens). Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.

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MiniMax

MiniMax M2.5

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

Elo 1,478$0.8999999999999999/1M out

Alibaba

Qwen QwQ 32B

Alibaba specialized open reasoning model competing with frontier closed reasoning models.

Elo 1,495$1.2/1M out

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Model A

Model B

Quick vs:vs Claude Opus 4.5 vs Claude Opus 4.6 vs Claude Sonnet 4.5 vs Claude 3.7 Sonnet

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

MiniMax M2.5 (7)vsQwen QwQ 32B (3)

MiniMax M2.5: 7W (70%)Overall: MiniMax M2.5Qwen QwQ 32B: 3W (30%)

← MiniMax M2.5Qwen QwQ 32B →

Qwen QwQ 32B (3/5)

Intelligence & Reasoning

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

Preference Elo

1,478vs1,495

Coding Elo

1,536vs1,520

SWE-bench

75.8%vs67.5%

LiveBench

64.4%vs68%

GPQA Diamond

76.2%vs83.2%

MiniMax M2.5: 2WQwen QwQ 32B: 3W

MiniMax M2.5 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

90 tok/svs68 tok/s

Time to first token

250 msvs320 ms

MiniMax M2.5: 2WQwen QwQ 32B: 0W

MiniMax M2.5 (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.9/1Mvs$1.2/1M

Input price

$0.22/1Mvs$0.3/1M

Context window

205kvs131k

MiniMax M2.5: 3WQwen QwQ 32B: 0W

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 AdvantageMiniMax M2.5 4/6

Preference Elo

Qwen QwQ 32B

17 pts advantage

Throughput Speed

MiniMax M2.5

22 tok/s faster

Price Efficiency

MiniMax M2.5

$0.30/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,478

EloHigh is better

1,495+1%

Code Elo

High is better

+1%1,536

Code EloHigh is better

1,520

LiveBench

High is better

64.4%

LiveBenchHigh is better

68%+6%

SWE-bench

High is better

+12%75.8%

SWE-benchHigh is better

67.5%

GPQA

High is better

76.2%

GPQAHigh is better

83.2%+9%

TTFT

Low is better

+28%250 ms

TTFTLow is better

320 ms

Speed

High is better

+32%90 tok/s

SpeedHigh is better

68 tok/s

In $

Low is better

+36%$0.22/1M

In $Low is better

$0.3/1M

Out $

Low is better

+33%$0.9/1M

Out $Low is better

$1.2/1M

Context

High is better

+56%205k

ContextHigh is better

131k

Interactive Simulator

Workload Cost & Savings Calculator

Simulate monthly production API costs based on published $/1M tokens.

Save up to 26% 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$21.20 / mo

In: $7.70Out: $13.50

Qwen QwQ 32B$28.50 / mo

In: $10.50Out: $18.00

Estimated Cost Delta

MiniMax M2.5 is estimated to save $7.30/month ($88/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
Qwen QwQ 32B:Pick Qwen QwQ 32B 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 ($0.9/1M).

Voice / low-latency UIMiniMax M2.5

Lower TTFT (250 ms).

Long-document RAGMiniMax M2.5

Larger window (205k).

Screenshots / visionQwen QwQ 32B

Qwen QwQ 32B is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	MiniMax M2.5	Higher SWE-bench (75.8%).
High-volume chat	MiniMax M2.5	Lower output list price ($0.9/1M).
Voice / low-latency UI	MiniMax M2.5	Lower TTFT (250 ms).
Long-document RAG	MiniMax M2.5	Larger window (205k).
Screenshots / vision	Qwen QwQ 32B	Qwen QwQ 32B 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.

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LIVE

MiniMax

MiniMax M2.5

Elo 1,478

LiveBench64.4%

SWE-bench75.8%

Speed90 tok/s

Output cost$0.9/1M

Alibaba

Qwen QwQ 32B

Elo 1,495

LiveBench68%

SWE-bench67.5%

Speed68 tok/s

Output cost$1.2/1M

Frequently Asked Questions

Which is better overall, MiniMax M2.5 or Qwen QwQ 32B?: Qwen QwQ 32B has the higher preference Elo in our latest snapshot (1,495). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, MiniMax M2.5 or Qwen QwQ 32B?: MiniMax M2.5 leads SWE-bench at 75.8% vs 67.5%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: MiniMax M2.5 output tokens are $0.9/1M versus $1.2/1M. Input prices and retry rates still move the real bill.
Which is faster, MiniMax M2.5 or Qwen QwQ 32B?: MiniMax M2.5 has the lower time-to-first-token (250 ms vs 320 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 131k.
Can I self-host either model?: Both MiniMax M2.5 and Qwen QwQ 32B are marked open-weights. Hosting cost is not in this table.
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 Qwen QwQ 32B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All MiniMax M2.5 matchups →|All Qwen QwQ 32B matchups →

Qwen QwQ 32B vs Qwen3 235B (previous qwen)Qwen QwQ 32B vs Qwen 3 Max (next qwen)Qwen3 235B vs MiniMax M2.5 Qwen 2.5 Coder 32B vs MiniMax M2.5 Qwen3.8 27B vs MiniMax M2.5 Llama 4 Maverick vs MiniMax M2.5

MiniMax M2.5 vs Qwen QwQ 32B benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

MiniMax M2.5 (7)vsQwen QwQ 32B (3)

MiniMax M2.5: 7W (70%)Overall: MiniMax M2.5Qwen QwQ 32B: 3W (30%)

← MiniMax M2.5Qwen QwQ 32B →

Qwen QwQ 32B (3/5)

Intelligence & Reasoning

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

Preference Elo

1,478vs1,495

Coding Elo

1,536vs1,520

SWE-bench

75.8%vs67.5%

LiveBench

64.4%vs68%

GPQA Diamond

76.2%vs83.2%

MiniMax M2.5: 2WQwen QwQ 32B: 3W

MiniMax M2.5 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

90 tok/svs68 tok/s

Time to first token

250 msvs320 ms

MiniMax M2.5: 2WQwen QwQ 32B: 0W

MiniMax M2.5 (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.9/1Mvs$1.2/1M

Input price

$0.22/1Mvs$0.3/1M

Context window

205kvs131k

MiniMax M2.5: 3WQwen QwQ 32B: 0W

Recommended Workload Routing

Repo / coding agentsMiniMax M2.5

Higher SWE-bench (75.8%).

High-volume chatMiniMax M2.5

Lower output list price ($0.9/1M).

Voice / low-latency UIMiniMax M2.5

Lower TTFT (250 ms).

Long-document RAGMiniMax M2.5

Larger window (205k).

Screenshots / visionQwen QwQ 32B

Qwen QwQ 32B is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	MiniMax M2.5	Higher SWE-bench (75.8%).
High-volume chat	MiniMax M2.5	Lower output list price ($0.9/1M).
Voice / low-latency UI	MiniMax M2.5	Lower TTFT (250 ms).
Long-document RAG	MiniMax M2.5	Larger window (205k).
Screenshots / vision	Qwen QwQ 32B	Qwen QwQ 32B is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, MiniMax M2.5 or Qwen QwQ 32B?

Qwen QwQ 32B has the higher preference Elo in our latest snapshot (1,495). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, MiniMax M2.5 or Qwen QwQ 32B?

MiniMax M2.5 leads SWE-bench at 75.8% vs 67.5%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

MiniMax M2.5 output tokens are $0.9/1M versus $1.2/1M. Input prices and retry rates still move the real bill.

Which is faster, MiniMax M2.5 or Qwen QwQ 32B?

MiniMax M2.5 has the lower time-to-first-token (250 ms vs 320 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 131k.

Can I self-host either model?

Both MiniMax M2.5 and Qwen QwQ 32B are marked open-weights. Hosting cost is not in this table.

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 Qwen QwQ 32B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

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Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

Qwen QwQ 32B

MiniMax M2.5

MiniMax M2.5

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

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

Cast Your Matchup Vote

Community Discussions (0)

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CompareLLM Matrix

MiniMax M2.5

Qwen QwQ 32B

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

Qwen QwQ 32B

MiniMax M2.5

MiniMax M2.5

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

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

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

MiniMax M2.5

Qwen QwQ 32B

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons