Model comparison
DeepSeek V4 Flash vs Grok 4.20 Multi-Agent
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 46.2 on the Noometry Index.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. DeepSeek V4 Flash scores higher in 6 categories and Grok 4.20 Multi-Agent in 2 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in math, where DeepSeek V4 Flash leads 60.3 to 39.4.
- DeepSeek V4 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $1.25 / $2.50 for Grok 4.20 Multi-Agent.
- DeepSeek V4 Flash has downloadable open weights; the other is API-only.
Side by side
| DeepSeek V4 Flash | Grok 4.20 Multi-Agent | |
|---|---|---|
| Provider | DeepSeek | xAI |
| Noometry Index | 53.6 | 46.2 |
| Released | 2026-04-24 | 2026-03-09 |
| Weights | Open | Proprietary |
| Context window | 1M | 1M |
| Max output | 393K | 30K |
| Input $ / M tokens | $0.15 | $1.25 |
| Output $ / M tokens | $0.60 | $2.50 |
| Results tracked | 41 | 20 |
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Category by category
Coding DeepSeek V4 Flash leads
DeepSeek V4 Flash: 47.9 (#59), Grok 4.20 Multi-Agent: 43.0 (#92)
| Benchmark | DeepSeek V4 Flash | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Coding | 1457 | 1457 |
| FrontierCode | 18.8% | — |
| LMArena WebDev | 1582 | — |
| SciCode | 49.9% | — |
| WeirdML | 63% | — |
| ALE-Bench | 1,306 | — |
Agentic & Tool Use Not comparable
DeepSeek V4 Flash: —, Grok 4.20 Multi-Agent: —
| Benchmark | DeepSeek V4 Flash | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Search | — | 1204 |
Reasoning DeepSeek V4 Flash leads
DeepSeek V4 Flash: 53.7 (#30), Grok 4.20 Multi-Agent: 43.9 (#48)
| Benchmark | DeepSeek V4 Flash | Grok 4.20 Multi-Agent |
|---|---|---|
| NYT Connections (extended) | 89.6% | 89.6% |
| LMArena Hard Prompts | 1444 | 1448 |
| ARC-AGI-2 | 61.4% | — |
| SimpleBench | 61.1% | — |
| Kagi LLM Benchmark | 52.2% | — |
| ARC-AGI-1 | 89% | — |
| CritPt | 16.6% | — |
| Chess Puzzles | 33% | — |
| Mystery Game Puzzles | 34% | — |
| DTBench | 90.9% | — |
| LMCA | 41.7% | — |
| Epoch Capabilities Index | 154.49 | — |
Math DeepSeek V4 Flash leads
DeepSeek V4 Flash: 60.3 (#37), Grok 4.20 Multi-Agent: 39.4 (#104)
| Benchmark | DeepSeek V4 Flash | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Math | 1427 | 1442 |
| FrontierMath (Tiers 1-3) | 57.5% | — |
| FrontierMath Tier 4 | 24.4% | — |
| MathArena Final-Answer Competitions | 76.5% | — |
| OTIS Mock AIME 2024-2025 | 94.4% | — |
| ProofBench | 56% | — |
Knowledge DeepSeek V4 Flash leads
DeepSeek V4 Flash: 55.4 (#48), Grok 4.20 Multi-Agent: 40.4 (#119)
| Benchmark | DeepSeek V4 Flash | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Expert | 1441 | 1445 |
| GPQA Diamond | 91% | — |
| SimpleQA Verified | 33.6% | — |
Multimodal Not comparable
DeepSeek V4 Flash: —, Grok 4.20 Multi-Agent: 40.5 (#48)
| Benchmark | DeepSeek V4 Flash | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Vision | — | 1259 |
Multilingual Grok 4.20 Multi-Agent leads
DeepSeek V4 Flash: 53.0 (#72), Grok 4.20 Multi-Agent: 54.4 (#43)
| Benchmark | DeepSeek V4 Flash | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Non-English | 1420 | 1440 |
| LMArena Chinese | 1468 | 1475 |
| LMArena French | 1439 | 1466 |
| LMArena German | 1418 | 1456 |
| LMArena Japanese | 1406 | 1405 |
| LMArena Korean | 1384 | 1416 |
| LMArena Russian | 1428 | 1457 |
| LMArena Spanish | 1436 | 1447 |
Instruction Following Too close to call
DeepSeek V4 Flash: 74.9 (#81), Grok 4.20 Multi-Agent: 74.8 (#84)
| Benchmark | DeepSeek V4 Flash | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Instruction Following | 1421 | 1420 |
Long Context Too close to call
DeepSeek V4 Flash: 43.8 (#85), Grok 4.20 Multi-Agent: 43.7 (#88)
| Benchmark | DeepSeek V4 Flash | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Longer Query | 1434 | 1431 |
Writing & Preference Too close to call
DeepSeek V4 Flash: 63.8 (#61), Grok 4.20 Multi-Agent: 64.0 (#59)
| Benchmark | DeepSeek V4 Flash | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Text | 1432 | 1450 |
| LMArena Creative Writing | 1403 | 1436 |
| LMArena Multi-Turn | 1449 | 1452 |
| EQ-Bench Creative Writing | 1559 | — |
Frequently asked questions
Is DeepSeek V4 Flash better than Grok 4.20 Multi-Agent?
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 46.2 on the Noometry Index.
Which is cheaper, DeepSeek V4 Flash or Grok 4.20 Multi-Agent?
DeepSeek V4 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Grok 4.20 Multi-Agent lists at $1.25 and $2.50.
Is DeepSeek V4 Flash or Grok 4.20 Multi-Agent better for coding?
DeepSeek V4 Flash scores higher on coding benchmarks: 47.9 versus 43.0 in the Noometry coding category.
Which has the bigger context window?
Both accept 1M tokens.
How many benchmarks do DeepSeek V4 Flash and Grok 4.20 Multi-Agent share?
18 benchmarks have published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and Grok 4.20 Multi-Agent has 20.