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Model comparison

DeepSeek Coder 2.0 vs Llama 4 Scout

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
39.87/100
0 category wins0 category wins

Public leaderboard positions: DeepSeek Coder 2.0 #114 (Estimated); Llama 4 Scout #174 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. DeepSeek Coder 2.0 and Llama 4 Scout share 0 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to DeepSeek Coder 2.0; 18 to Llama 4 Scout.

Updated July 21, 2026
Shared results
0
DeepSeek Coder 2.0 only
0
Llama 4 Scout only
18
Comparable categories
0 / 8

Benchmark data for DeepSeek Coder 2.0 and Llama 4 Scout 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.

Llama 4 Scout has the larger context window at 10M, 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 2.0Llama 4 ScoutComparison
Input / output priceUSD per 1M tokensDeepSeek Coder 2.0Not availableLlama 4 Scout$0 input / $0 outputA complete price comparison is not available.
Generation speedtokens per secondDeepSeek Coder 2.0Not availableLlama 4 Scout128 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenDeepSeek Coder 2.0Not availableLlama 4 Scout0.70 sA complete latency comparison is not available.
Context windowmaximum listed tokensDeepSeek Coder 2.0128KLlama 4 Scout10MLlama 4 Scout lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkDeepSeek Coder 2.0Llama 4 ScoutResult
AA Agentic IndexSource 1.1%Not comparable
τ²-bench resultsSource 15.5%Not comparable
GDPval-AASource 0.0%Not comparable
GDPval-AASource 90Not comparable
Coding
BenchmarkDeepSeek Coder 2.0Llama 4 ScoutResult
AA Coding IndexSource 8.2%Not comparable
AA-SciCodeSource 17.0%Not comparable
Reasoning
BenchmarkDeepSeek Coder 2.0Llama 4 ScoutResult
AA-LCRSource 25.8%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkDeepSeek Coder 2.0Llama 4 ScoutResult
Artificial Analysis Intelligence IndexSource 10.0%Not comparable
AA-GPQA DiamondSource 58.7%Not comparable
AA-HLESource 4.3%Not comparable
AA-Omniscience IndexSource -52.4%Not comparable
AA-Omniscience AccuracySource 14.6%Not comparable
AA-Omniscience Hallucination RateSource 78.3%Not comparable
Math
BenchmarkDeepSeek Coder 2.0Llama 4 ScoutResult
FrontierMath v2 (Tiers 1-3)Source 0.000%Not comparable
Multimodal
BenchmarkDeepSeek Coder 2.0Llama 4 ScoutResult
AA-MMMU-ProSource 52.9%Not comparable
Design Arena WebsiteSource 780Not comparable
Inst. Following
BenchmarkDeepSeek Coder 2.0Llama 4 ScoutResult
AA-IFBenchSource 39.5%Not comparable
Frequently Asked Questions (3)

Can I compare DeepSeek Coder 2.0 and Llama 4 Scout 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 Llama 4 Scout today?

DeepSeek Coder 2.0: Pricing unavailable Llama 4 Scout: $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

Self-host vs API cost

Estimates at 50,000 req/day · 1000 tokens/req average.

DeepSeek Coder 2.0
API / mo$0
Self-host / moNot listed
Break-even
Proprietary model — self-hosting not applicable.
Llama 4 Scout
API / mo$0
Self-host / mo$2,278
Break-even
Model the full break-even

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Last updated: July 21, 2026

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