Model comparison
DeepSeek V4 Flash vs Wizardlm 70b
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 32.4 on the Noometry Index.
Last verified . 12 shared benchmarks.
DeepSeek
MicrosoftSummary
- They share 12 benchmarks with published results for both. DeepSeek V4 Flash scores higher in 7 categories and Wizardlm 70b in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek V4 Flash leads 53.7 to 19.8.
Side by side
| DeepSeek V4 Flash | Wizardlm 70b | |
|---|---|---|
| Provider | DeepSeek | Microsoft |
| Noometry Index | 53.6 | 32.4 |
| 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 | 12 |
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Category by category
Coding DeepSeek V4 Flash leads
DeepSeek V4 Flash: 47.6 (#56), Wizardlm 70b: 30.9 (#280)
| Benchmark | DeepSeek V4 Flash | Wizardlm 70b |
|---|---|---|
| LMArena Coding | 1457 | 1081 |
| FrontierCode | 18.8% | — |
| LMArena WebDev | 1581 | — |
| SciCode | 49.9% | — |
| WeirdML | 63% | — |
| ALE-Bench | 1,306 | — |
Reasoning DeepSeek V4 Flash leads
DeepSeek V4 Flash: 53.7 (#25), Wizardlm 70b: 19.8 (#231)
| Benchmark | DeepSeek V4 Flash | Wizardlm 70b |
|---|---|---|
| LMArena Hard Prompts | 1443 | 1079 |
| 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 | 154.51 | — |
Math DeepSeek V4 Flash leads
DeepSeek V4 Flash: 60.0 (#31), Wizardlm 70b: 29.7 (#216)
| Benchmark | DeepSeek V4 Flash | Wizardlm 70b |
|---|---|---|
| LMArena Math | 1427 | 1116 |
| 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: 55.5 (#43), Wizardlm 70b: —
| Benchmark | DeepSeek V4 Flash | Wizardlm 70b |
|---|---|---|
| GPQA Diamond | 91% | — |
| SimpleQA Verified | 33.6% | — |
| LMArena Expert | 1441 | — |
Multilingual DeepSeek V4 Flash leads
DeepSeek V4 Flash: 53.2 (#71), Wizardlm 70b: 29.8 (#260)
| Benchmark | DeepSeek V4 Flash | Wizardlm 70b |
|---|---|---|
| LMArena Non-English | 1420 | 1078 |
| LMArena Chinese | 1467 | 1052 |
| LMArena German | 1418 | 1083 |
| LMArena Russian | 1428 | 1155 |
| LMArena French | 1438 | — |
| LMArena Japanese | 1403 | — |
| LMArena Korean | 1383 | — |
| LMArena Spanish | 1437 | — |
Instruction Following DeepSeek V4 Flash leads
DeepSeek V4 Flash: 75.1 (#76), Wizardlm 70b: 56.5 (#268)
| Benchmark | DeepSeek V4 Flash | Wizardlm 70b |
|---|---|---|
| LMArena Instruction Following | 1421 | 1093 |
Long Context DeepSeek V4 Flash leads
DeepSeek V4 Flash: 43.8 (#81), Wizardlm 70b: 33.3 (#258)
| Benchmark | DeepSeek V4 Flash | Wizardlm 70b |
|---|---|---|
| LMArena Longer Query | 1435 | 1097 |
Writing & Preference DeepSeek V4 Flash leads
DeepSeek V4 Flash: 64.0 (#59), Wizardlm 70b: 34.9 (#264)
| Benchmark | DeepSeek V4 Flash | Wizardlm 70b |
|---|---|---|
| LMArena Text | 1432 | 1120 |
| LMArena Creative Writing | 1403 | 1149 |
| LMArena Multi-Turn | 1449 | 1108 |
| EQ-Bench Creative Writing | 1559 | — |
Frequently asked questions
Is DeepSeek V4 Flash better than Wizardlm 70b?
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 32.4 on the Noometry Index.
Is DeepSeek V4 Flash or Wizardlm 70b better for coding?
DeepSeek V4 Flash scores higher on coding benchmarks: 47.6 versus 30.9 in the Noometry coding category.
How many benchmarks do DeepSeek V4 Flash and Wizardlm 70b share?
12 benchmarks have published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and Wizardlm 70b has 12.