Model comparison
DeepSeek V4 Flash vs Wizardlm 13b
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 31.4 on the Noometry Index.
Last verified . 10 shared benchmarks.
DeepSeek
MicrosoftSummary
- They share 10 benchmarks with published results for both. DeepSeek V4 Flash scores higher in 7 categories and Wizardlm 13b in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek V4 Flash leads 53.7 to 19.4.
Side by side
| DeepSeek V4 Flash | Wizardlm 13b | |
|---|---|---|
| Provider | DeepSeek | Microsoft |
| Noometry Index | 53.6 | 31.4 |
| Released | 2026-04-24 | — |
| Weights | Open | Open |
| Context window | 1M | — |
| Max output | 393K | — |
| Input $ / M tokens | $0.15 | — |
| Output $ / M tokens | $0.60 | — |
| Results tracked | 41 | 10 |
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Category by category
Coding DeepSeek V4 Flash leads
DeepSeek V4 Flash: 47.9 (#59), Wizardlm 13b: 30.1 (#298)
| Benchmark | DeepSeek V4 Flash | Wizardlm 13b |
|---|---|---|
| LMArena Coding | 1457 | 1035 |
| FrontierCode | 18.8% | — |
| LMArena WebDev | 1582 | — |
| SciCode | 49.9% | — |
| WeirdML | 63% | — |
| ALE-Bench | 1,306 | — |
Reasoning DeepSeek V4 Flash leads
DeepSeek V4 Flash: 53.7 (#30), Wizardlm 13b: 19.4 (#259)
| Benchmark | DeepSeek V4 Flash | Wizardlm 13b |
|---|---|---|
| LMArena Hard Prompts | 1444 | 1018 |
| ARC-AGI-2 | 61.4% | — |
| SimpleBench | 61.1% | — |
| Kagi LLM Benchmark | 52.2% | — |
| NYT Connections (extended) | 89.6% | — |
| 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), Wizardlm 13b: 30.2 (#238)
| Benchmark | DeepSeek V4 Flash | Wizardlm 13b |
|---|---|---|
| LMArena Math | 1427 | 1017 |
| 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 Not comparable
DeepSeek V4 Flash: 55.4 (#48), Wizardlm 13b: —
| Benchmark | DeepSeek V4 Flash | Wizardlm 13b |
|---|---|---|
| GPQA Diamond | 91% | — |
| SimpleQA Verified | 33.6% | — |
| LMArena Expert | 1441 | — |
Multilingual DeepSeek V4 Flash leads
DeepSeek V4 Flash: 53.0 (#72), Wizardlm 13b: 27.1 (#277)
| Benchmark | DeepSeek V4 Flash | Wizardlm 13b |
|---|---|---|
| LMArena Non-English | 1420 | 1034 |
| LMArena Chinese | 1468 | 1023 |
| LMArena French | 1439 | — |
| LMArena German | 1418 | — |
| LMArena Japanese | 1406 | — |
| LMArena Korean | 1384 | — |
| LMArena Russian | 1428 | — |
| LMArena Spanish | 1436 | — |
Instruction Following DeepSeek V4 Flash leads
DeepSeek V4 Flash: 74.9 (#81), Wizardlm 13b: 53.5 (#285)
| Benchmark | DeepSeek V4 Flash | Wizardlm 13b |
|---|---|---|
| LMArena Instruction Following | 1421 | 1048 |
Long Context DeepSeek V4 Flash leads
DeepSeek V4 Flash: 43.8 (#85), Wizardlm 13b: 32.0 (#273)
| Benchmark | DeepSeek V4 Flash | Wizardlm 13b |
|---|---|---|
| LMArena Longer Query | 1434 | 1054 |
Writing & Preference DeepSeek V4 Flash leads
DeepSeek V4 Flash: 63.8 (#61), Wizardlm 13b: 30.5 (#287)
| Benchmark | DeepSeek V4 Flash | Wizardlm 13b |
|---|---|---|
| LMArena Text | 1432 | 1077 |
| LMArena Creative Writing | 1403 | 1091 |
| LMArena Multi-Turn | 1449 | 1047 |
| EQ-Bench Creative Writing | 1559 | — |
Frequently asked questions
Is DeepSeek V4 Flash better than Wizardlm 13b?
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 31.4 on the Noometry Index.
Is DeepSeek V4 Flash or Wizardlm 13b better for coding?
DeepSeek V4 Flash scores higher on coding benchmarks: 47.9 versus 30.1 in the Noometry coding category.
How many benchmarks do DeepSeek V4 Flash and Wizardlm 13b share?
10 benchmarks have published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and Wizardlm 13b has 10.