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Model comparison

DeepSeek Coder 2.0 vs GPT-4.1 mini

Data verified

Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No sourced benchmark result is currently shared by both models. This page therefore compares only the available metadata, pricing, and runtime rows; it does not name a quality winner.
N/A
No comparison
43.1/100
0 category wins0 category wins

Public leaderboard positions: DeepSeek Coder 2.0 #119 (Estimated); GPT-4.1 mini #160 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. DeepSeek Coder 2.0 and GPT-4.1 mini share 0 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to DeepSeek Coder 2.0; 22 to GPT-4.1 mini.

Updated July 24, 2026
Shared results
0
DeepSeek Coder 2.0 only
0
GPT-4.1 mini only
22
Comparable categories
0 / 8

Benchmark data for DeepSeek Coder 2.0 and GPT-4.1 mini is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

BenchLM does not have sourced benchmark coverage for DeepSeek Coder 2.0 yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.

GPT-4.1 mini has the larger context window at 1M, compared with 128K for DeepSeek Coder 2.0.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricDeepSeek Coder 2.0GPT-4.1 miniComparison
Input / output priceUSD per 1M tokensDeepSeek Coder 2.0Not availableGPT-4.1 mini$0.4 input / $1.6 outputA complete price comparison is not available.
Generation speedtokens per secondDeepSeek Coder 2.0Not availableGPT-4.1 mini80 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenDeepSeek Coder 2.0Not availableGPT-4.1 mini0.76 sA complete latency comparison is not available.
Context windowmaximum listed tokensDeepSeek Coder 2.0128KGPT-4.1 mini1MGPT-4.1 mini lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkDeepSeek Coder 2.0GPT-4.1 miniResult
AA Agentic IndexSource 1.7%Not comparable
τ²-bench resultsSource 52.9%Not comparable
GDPval-AASource 0.4%Not comparable
GDPval-AASource 508Not comparable
Coding
BenchmarkDeepSeek Coder 2.0GPT-4.1 miniResult
SWE-bench VerifiedSource 23.6%Not comparable
AA Coding IndexSource 20.2%Not comparable
AA-SciCodeSource 40.4%Not comparable
Reasoning
BenchmarkDeepSeek Coder 2.0GPT-4.1 miniResult
AA-LCRSource 42.3%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkDeepSeek Coder 2.0GPT-4.1 miniResult
MMLUSource 87.5%Not comparable
GPQASource 64.2%Not comparable
Artificial Analysis Intelligence IndexSource 14.8%Not comparable
AA-GPQA DiamondSource 66.4%Not comparable
AA-HLESource 4.6%Not comparable
AA-Omniscience IndexSource -50.1%Not comparable
AA-Omniscience AccuracySource 17.5%Not comparable
AA-Omniscience Hallucination RateSource 82.0%Not comparable
Math
BenchmarkDeepSeek Coder 2.0GPT-4.1 miniResult
FrontierMath v2 (Tiers 1-3)Source 4.483%Not comparable
Multimodal
BenchmarkDeepSeek Coder 2.0GPT-4.1 miniResult
AA-MMMU-ProSource 58.7%Not comparable
Design Arena WebsiteSource 1027Not comparable
Inst. Following
BenchmarkDeepSeek Coder 2.0GPT-4.1 miniResult
IFEvalSource 88.5%Not comparable
AA-IFBenchSource 38.3%Not comparable
Frequently Asked Questions (3)

Can I compare DeepSeek Coder 2.0 and GPT-4.1 mini on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.

Why does this comparison show “coming soon”?

BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.

What data is available for DeepSeek Coder 2.0 and GPT-4.1 mini today?

DeepSeek Coder 2.0: Pricing unavailable GPT-4.1 mini: $0.40 input / $1.60 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

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Last updated: July 24, 2026