Model comparison
DeepSeek V3.2 vs Grok Code Fast 1
Head-to-head evidence from 11 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: DeepSeek V3.2 #82 (Supported); Grok Code Fast 1 #180 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek V3.2 and Grok Code Fast 1 share 11 comparable benchmark results. 1 of 8 categories are comparable. 8 results are unique to DeepSeek V3.2; 1 to Grok Code Fast 1.
Updated July 20, 2026- Shared results
- 11
- DeepSeek V3.2 only
- 8
- Grok Code Fast 1 only
- 1
- Comparable categories
- 1 / 8
Pick DeepSeek V3.2 if you want the stronger benchmark profile. Grok Code Fast 1 only becomes the better choice if coding is the priority or you need the larger 256K context window.
Confidence note. This is a partial-evidence comparison with 11 shared benchmark results across 5 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
DeepSeek V3.2 is clearly ahead on the BenchAlign aggregate, 55.4 to 38.64. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Grok Code Fast 1 is also the more expensive model on tokens at $0.20 input / $1.50 output per 1M tokens, versus $0.28 input / $0.42 output per 1M tokens for DeepSeek V3.2. That is roughly 3.6x on output cost alone. Grok Code Fast 1 gives you the larger context window at 256K, compared with 128K for DeepSeek V3.2.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | DeepSeek V3.2 | Δ | Grok Code Fast 1 |
|---|---|---|---|
| Coding | DeepSeek V3.260.9 | Margin→ 9.9 | Grok Code Fast 170.8 |
| Math | DeepSeek V3.217.1 | MarginNo overlap | Grok Code Fast 1Not measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek V3.2 | Grok Code Fast 1 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek V3.2$0.28 input / $0.42 output | Grok Code Fast 1$0.2 input / $1.5 output | DeepSeek V3.2 has the lower combined listed price. |
| Generation speedtokens per second | DeepSeek V3.235 tok/s | Grok Code Fast 1172 tok/s | Grok Code Fast 1 has the higher measured throughput. |
| First-answer latencyseconds to first token | DeepSeek V3.23.75 s | Grok Code Fast 12.81 s | Grok Code Fast 1 reaches the first token sooner. |
| Context windowmaximum listed tokens | DeepSeek V3.2128K | Grok Code Fast 1256K | Grok Code Fast 1 lists the larger context window. |
Benchmark Deep Dive
Agentic4 benchmarks
CodingGrok Code Fast 1 wins4 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | DeepSeek V3.2 | Grok Code Fast 1 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 24.7% | 21.6% | DeepSeek V3.2 leads |
| AA-GPQA DiamondSource | 75.1% | 72.7% | DeepSeek V3.2 leads |
| AA-HLESource | 10.5% | 7.5% | DeepSeek V3.2 leads |
| AA-Omniscience IndexSource | -46.7% | -36.0% | Grok Code Fast 1 leads |
| AA-Omniscience AccuracySource | 24.2% | 23.8% | DeepSeek V3.2 leads |
| AA-Omniscience Hallucination RateSource | 93.5% | 78.5% | Grok Code Fast 1 leads |
Math2 benchmarks
Multimodal1 benchmarks
| Benchmark | DeepSeek V3.2 | Grok Code Fast 1 | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1206 | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | DeepSeek V3.2 | Grok Code Fast 1 | Result |
|---|---|---|---|
| AA-IFBenchSource | 49.0% | 41.4% | DeepSeek V3.2 leads |
Frequently Asked Questions (2)
Which is better, DeepSeek V3.2 or Grok Code Fast 1?
DeepSeek V3.2 is ahead on BenchLM's BenchAlign leaderboard, 55.4 to 38.64.
Which is better for coding, DeepSeek V3.2 or Grok Code Fast 1?
Grok Code Fast 1 has the edge for coding in this comparison, averaging 70.8 versus 60.9. Inside this category, AA-SciCode is the benchmark that creates the most daylight between them.
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