# Codellama 70b Instruct vs DeepSeek V4 Flash

> DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 33.3 on the Noometry Index.

- Canonical page: https://noometry.com/compare/codellama-70b-instruct-vs-deepseek-v4-flash
- Last updated: 2026-10-10
- Shared benchmarks: 4

## Summary

- They share 4 benchmarks with published results for both. Codellama 70b Instruct scores higher in 0 categories and DeepSeek V4 Flash in 5 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek V4 Flash leads 53.7 to 19.2.

## Snapshot

| | Codellama 70b Instruct | DeepSeek V4 Flash |
|---|---|---|
| Provider | Meta | DeepSeek |
| Noometry Index | 33.3 | 53.6 |
| Rank | 236 | 32 |
| Context | — | 1M |
| Input $/M | — | $0.15 |
| Output $/M | — | $0.60 |
| Weights | Open | Open |

## Coding

- Codellama 70b Instruct: 37.0 (#189)
- DeepSeek V4 Flash: 47.6 (#56)

| Benchmark | Codellama 70b Instruct | DeepSeek V4 Flash |
|---|---|---|
| FrontierCode | — | 18.8% |
| LMArena WebDev | — | 1581 |
| SciCode | — | 49.9% |
| WeirdML | — | 63% |
| BigCodeBench Instruct | 40.7% | — |
| LMArena Coding | — | 1457 |
| BigCodeBench Complete | 49.6% | — |
| ALE-Bench | — | 1,306 |
| HumanEval+ | 65.9% | — |

## Reasoning

- Codellama 70b Instruct: 19.2 (#241)
- DeepSeek V4 Flash: 53.7 (#25)

| Benchmark | Codellama 70b Instruct | DeepSeek V4 Flash |
|---|---|---|
| LMArena Hard Prompts | 1052 | 1443 |
| 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

- Codellama 70b Instruct: —
- DeepSeek V4 Flash: 60.0 (#31)

| Benchmark | Codellama 70b Instruct | DeepSeek V4 Flash |
|---|---|---|
| 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% |
| LMArena Math | — | 1427 |

## Knowledge

- Codellama 70b Instruct: —
- DeepSeek V4 Flash: 55.5 (#43)

| Benchmark | Codellama 70b Instruct | DeepSeek V4 Flash |
|---|---|---|
| GPQA Diamond | — | 91% |
| SimpleQA Verified | — | 33.6% |
| LMArena Expert | — | 1441 |

## Multilingual

- Codellama 70b Instruct: 24.9 (#283)
- DeepSeek V4 Flash: 53.2 (#71)

| Benchmark | Codellama 70b Instruct | DeepSeek V4 Flash |
|---|---|---|
| LMArena Non-English | 992 | 1420 |
| LMArena Chinese | — | 1467 |
| LMArena French | — | 1438 |
| LMArena German | — | 1418 |
| LMArena Japanese | — | 1403 |
| LMArena Korean | — | 1383 |
| LMArena Russian | — | 1428 |
| LMArena Spanish | — | 1437 |

## Instruction Following

- Codellama 70b Instruct: 52.1 (#288)
- DeepSeek V4 Flash: 75.1 (#76)

| Benchmark | Codellama 70b Instruct | DeepSeek V4 Flash |
|---|---|---|
| LMArena Instruction Following | 1024 | 1421 |

## Long Context

- Codellama 70b Instruct: —
- DeepSeek V4 Flash: 43.8 (#81)

| Benchmark | Codellama 70b Instruct | DeepSeek V4 Flash |
|---|---|---|
| LMArena Longer Query | — | 1435 |

## Writing & Preference

- Codellama 70b Instruct: 33.6 (#272)
- DeepSeek V4 Flash: 64.0 (#59)

| Benchmark | Codellama 70b Instruct | DeepSeek V4 Flash |
|---|---|---|
| LMArena Text | 1057 | 1432 |
| LMArena Creative Writing | — | 1403 |
| EQ-Bench Creative Writing | — | 1559 |
| LMArena Multi-Turn | — | 1449 |

## FAQ

### Is Codellama 70b Instruct better than DeepSeek V4 Flash?

DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 33.3 on the Noometry Index.

### Is Codellama 70b Instruct or DeepSeek V4 Flash better for coding?

DeepSeek V4 Flash scores higher on coding benchmarks: 47.6 versus 37.0 in the Noometry coding category.

### How many benchmarks do Codellama 70b Instruct and DeepSeek V4 Flash share?

4 benchmarks have published results for both models. Codellama 70b Instruct has 7 scored results on Noometry and DeepSeek V4 Flash has 41.