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Model comparison

DeepSeek LLM 2.0 vs Grok Code Fast 1

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
38.64/100
0 category wins0 category wins

Public leaderboard positions: DeepSeek LLM 2.0 #89 (Estimated); Grok Code Fast 1 #180 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. DeepSeek LLM 2.0 and Grok Code Fast 1 share 0 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to DeepSeek LLM 2.0; 12 to Grok Code Fast 1.

Updated July 21, 2026
Shared results
0
DeepSeek LLM 2.0 only
0
Grok Code Fast 1 only
12
Comparable categories
0 / 8

Benchmark data for DeepSeek LLM 2.0 and Grok Code Fast 1 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 LLM 2.0 yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.

Grok Code Fast 1 is priced at $0.20 input / $1.50 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for DeepSeek LLM 2.0. Grok Code Fast 1 has the larger context window at 256K, compared with 128K for DeepSeek LLM 2.0.

Operational comparison

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

MetricDeepSeek LLM 2.0Grok Code Fast 1Comparison
Input / output priceUSD per 1M tokensDeepSeek LLM 2.0$0 input / $0 outputGrok Code Fast 1$0.2 input / $1.5 outputDeepSeek LLM 2.0 has the lower combined listed price.
Generation speedtokens per secondDeepSeek LLM 2.0Not availableGrok Code Fast 1172 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenDeepSeek LLM 2.0Not availableGrok Code Fast 12.81 sA complete latency comparison is not available.
Context windowmaximum listed tokensDeepSeek LLM 2.0128KGrok Code Fast 1256KGrok Code Fast 1 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkDeepSeek LLM 2.0Grok Code Fast 1Result
τ²-bench resultsSource 75.7%Not comparable
Coding
BenchmarkDeepSeek LLM 2.0Grok Code Fast 1Result
SWE-bench VerifiedSource 70.8%Not comparable
AA-SciCodeSource 36.2%Not comparable
Reasoning
BenchmarkDeepSeek LLM 2.0Grok Code Fast 1Result
AA-LCRSource 48.3%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkDeepSeek LLM 2.0Grok Code Fast 1Result
Artificial Analysis Intelligence IndexSource 21.6%Not comparable
AA-GPQA DiamondSource 72.7%Not comparable
AA-HLESource 7.5%Not comparable
AA-Omniscience IndexSource -36.0%Not comparable
AA-Omniscience AccuracySource 23.8%Not comparable
AA-Omniscience Hallucination RateSource 78.5%Not comparable
Inst. Following
BenchmarkDeepSeek LLM 2.0Grok Code Fast 1Result
AA-IFBenchSource 41.4%Not comparable
Frequently Asked Questions (3)

Can I compare DeepSeek LLM 2.0 and Grok Code Fast 1 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 LLM 2.0 and Grok Code Fast 1 today?

DeepSeek LLM 2.0: $0.00 input / $0.00 output per 1M tokens Grok Code Fast 1: $0.20 input / $1.50 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 21, 2026

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