Pairwise benchmark snapshot · Aug 16, 2026

DeepSeek Coder V2 vs MiniMax M2.5 benchmark

Name: DeepSeek Coder V2 vs MiniMax M2.5 AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares DeepSeek Coder V2 (DeepSeek) and MiniMax M2.5 (MiniMax) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, MiniMax M2.5 is ahead by 113 points (1,478 vs 1,365; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, MiniMax M2.5 resolves 75.8% versus 60.5% (seed-bootstrap (Aug 1, 2026)). MiniMax M2.5 streams faster (90 tok/s) while DeepSeek Coder V2 is the cheaper output token ($0.28/1M). 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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DeepSeek

DeepSeek Coder V2

DeepSeek open-weight Mixture-of-Experts coding model supporting 338 programming languages and 128k context.

Elo 1,365$0.28/1M out

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

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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.

DeepSeek Coder V2 (2)vsMiniMax M2.5 (8)

DeepSeek Coder V2: 2W (20%)Overall: MiniMax M2.5MiniMax M2.5: 8W (80%)

← DeepSeek Coder V2MiniMax M2.5 →

MiniMax M2.5 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,365vs1,478

Coding Elo

1,442vs1,536

SWE-bench

60.5%vs75.8%

LiveBench

58.6%vs64.4%

GPQA Diamond

70.2%vs76.2%

DeepSeek Coder V2: 0WMiniMax M2.5: 5W

MiniMax M2.5 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

75 tok/svs90 tok/s

Time to first token

290 msvs250 ms

DeepSeek Coder V2: 0WMiniMax M2.5: 2W

DeepSeek Coder V2 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.28/1Mvs$0.9/1M

Input price

$0.14/1Mvs$0.22/1M

Context window

128kvs205k

DeepSeek Coder V2: 2WMiniMax M2.5: 1W

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 5/6

Preference Elo

MiniMax M2.5

113 pts advantage

Throughput Speed

MiniMax M2.5

15 tok/s faster

Price Efficiency

DeepSeek Coder V2

$0.62/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,365

EloHigh is better

1,478+8%

Code Elo

High is better

1,442

Code EloHigh is better

1,536+7%

LiveBench

High is better

58.6%

LiveBenchHigh is better

64.4%+10%

SWE-bench

High is better

60.5%

SWE-benchHigh is better

75.8%+25%

GPQA

High is better

70.2%

GPQAHigh is better

76.2%+9%

TTFT

Low is better

290 ms

TTFTLow is better

250 ms+16%

Speed

High is better

75 tok/s

SpeedHigh is better

90 tok/s+20%

In $

Low is better

+57%$0.14/1M

In $Low is better

$0.22/1M

Out $

Low is better

+221%$0.28/1M

Out $Low is better

$0.9/1M

Context

High is better

128k

ContextHigh is better

205k+60%

Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 57% with DeepSeek Coder V2

Monthly Volume50M tokens/mo

Quick Presets:

Token Ratio (In vs Out)70% In / 30% Out

RAG / Search (10% out)Coding / Chat (50% out)

DeepSeek Coder V2$9.10 / mo

In: $4.90Out: $4.20

MiniMax M2.5$21.20 / mo

In: $7.70Out: $13.50

Estimated Cost Delta

DeepSeek Coder V2 is estimated to save $12.10/month ($145/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
DeepSeek Coder V2:Pick DeepSeek Coder V2 when you are optimizing output cost.
3
MiniMax M2.5:Pick MiniMax M2.5 when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsMiniMax M2.5

Higher SWE-bench (75.8%).

High-volume chatDeepSeek Coder V2

Lower output list price ($0.28/1M).

Voice / low-latency UIMiniMax M2.5

Lower TTFT (250 ms).

Long-document RAGMiniMax M2.5

Larger window (205k).

Screenshots / visionMiniMax M2.5

MiniMax M2.5 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	DeepSeek Coder V2	Lower output list price ($0.28/1M).
Voice / low-latency UI	MiniMax M2.5	Lower TTFT (250 ms).
Long-document RAG	MiniMax M2.5	Larger window (205k).
Screenshots / vision	MiniMax M2.5	MiniMax M2.5 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

DeepSeek

DeepSeek Coder V2

Elo 1,365

LiveBench58.6%

SWE-bench60.5%

Speed75 tok/s

Output cost$0.28/1M

MiniMax

MiniMax M2.5

Elo 1,478

LiveBench64.4%

SWE-bench75.8%

Speed90 tok/s

Output cost$0.9/1M

Frequently Asked Questions

Which is better overall, DeepSeek Coder V2 or MiniMax M2.5?: MiniMax M2.5 has the higher preference Elo in our latest snapshot (1,478). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, DeepSeek Coder V2 or MiniMax M2.5?: MiniMax M2.5 leads SWE-bench at 75.8% vs 60.5%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: DeepSeek Coder V2 output tokens are $0.28/1M versus $0.9/1M. Input prices and retry rates still move the real bill.
Which is faster, DeepSeek Coder V2 or MiniMax M2.5?: MiniMax M2.5 has the lower time-to-first-token (250 ms vs 290 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 128k.
Can I self-host either model?: Both DeepSeek Coder V2 and MiniMax M2.5 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. DeepSeek Coder V2 and MiniMax M2.5 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All DeepSeek Coder V2 matchups →|All MiniMax M2.5 matchups →

DeepSeek Coder V2 vs DeepSeek V3 (next deepseek)DeepSeek V4 Flash vs MiniMax M2.5 DeepSeek V4 Pro vs MiniMax M2.5 DeepSeek R1 vs DeepSeek Coder V2 Llama 4 Maverick vs MiniMax M2.5 GLM-5.2 vs MiniMax M2.5

DeepSeek Coder V2 vs MiniMax M2.5 benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

DeepSeek Coder V2 (2)vsMiniMax M2.5 (8)

DeepSeek Coder V2: 2W (20%)Overall: MiniMax M2.5MiniMax M2.5: 8W (80%)

← DeepSeek Coder V2MiniMax M2.5 →

MiniMax M2.5 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,365vs1,478

Coding Elo

1,442vs1,536

SWE-bench

60.5%vs75.8%

LiveBench

58.6%vs64.4%

GPQA Diamond

70.2%vs76.2%

DeepSeek Coder V2: 0WMiniMax M2.5: 5W

MiniMax M2.5 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

75 tok/svs90 tok/s

Time to first token

290 msvs250 ms

DeepSeek Coder V2: 0WMiniMax M2.5: 2W

DeepSeek Coder V2 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.28/1Mvs$0.9/1M

Input price

$0.14/1Mvs$0.22/1M

Context window

128kvs205k

DeepSeek Coder V2: 2WMiniMax M2.5: 1W

Recommended Workload Routing

Repo / coding agentsMiniMax M2.5

Higher SWE-bench (75.8%).

High-volume chatDeepSeek Coder V2

Lower output list price ($0.28/1M).

Voice / low-latency UIMiniMax M2.5

Lower TTFT (250 ms).

Long-document RAGMiniMax M2.5

Larger window (205k).

Screenshots / visionMiniMax M2.5

MiniMax M2.5 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	DeepSeek Coder V2	Lower output list price ($0.28/1M).
Voice / low-latency UI	MiniMax M2.5	Lower TTFT (250 ms).
Long-document RAG	MiniMax M2.5	Larger window (205k).
Screenshots / vision	MiniMax M2.5	MiniMax M2.5 is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, DeepSeek Coder V2 or MiniMax M2.5?

MiniMax M2.5 has the higher preference Elo in our latest snapshot (1,478). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, DeepSeek Coder V2 or MiniMax M2.5?

MiniMax M2.5 leads SWE-bench at 75.8% vs 60.5%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

DeepSeek Coder V2 output tokens are $0.28/1M versus $0.9/1M. Input prices and retry rates still move the real bill.

Which is faster, DeepSeek Coder V2 or MiniMax M2.5?

MiniMax M2.5 has the lower time-to-first-token (250 ms vs 290 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 128k.

Can I self-host either model?

Both DeepSeek Coder V2 and MiniMax M2.5 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. DeepSeek Coder V2 and MiniMax M2.5 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

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

MiniMax M2.5

MiniMax M2.5

DeepSeek Coder V2

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

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CompareLLM Matrix

DeepSeek Coder V2

MiniMax M2.5

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

MiniMax M2.5

MiniMax M2.5

DeepSeek Coder V2

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

DeepSeek Coder V2

MiniMax M2.5

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons