# Mistral Nemo vs Qwen3 14B

> Qwen3 14B is the stronger model overall, scoring 35.5 to 26.4 on the Noometry Index. Mistral Nemo costs 4.1× less per token, which makes it the better buy when Qwen3 14B's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/mistral-nemo-vs-qwen3-14b
- Last updated: 2026-10-10
- Shared benchmarks: 4

## Summary

- They share 4 benchmarks with published results for both. Mistral Nemo scores higher in 1 category and Qwen3 14B in 3 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3 14B leads 39.3 to 12.3.
- The biggest single-benchmark swing is GPQA Diamond: 29.9% for Mistral Nemo and 63.8% for Qwen3 14B.
- Mistral Nemo is cheaper at $0.15 / $0.15 per million input/output tokens, against $0.35 / $1.40 for Qwen3 14B.
- Qwen3 14B accepts more context: 131K tokens versus 128K.

## Snapshot

| | Mistral Nemo | Qwen3 14B |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 26.4 | 35.5 |
| Rank | 337 | 225 |
| Context | 128K | 131K |
| Input $/M | $0.15 | $0.35 |
| Output $/M | $0.15 | $1.40 |
| Weights | Open | Open |

## Coding

- Mistral Nemo: —
- Qwen3 14B: 37.3 (#195)

| Benchmark | Mistral Nemo | Qwen3 14B |
|---|---|---|
| SciCode | — | 31.6% |

## Agentic & Tool Use

- Mistral Nemo: 23.5 (#125)
- Qwen3 14B: 29.6 (#83)

| Benchmark | Mistral Nemo | Qwen3 14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 27.6% | 41% |
| BALROG | 17.6% | — |

## Reasoning

- Mistral Nemo: 20.7 (#232)
- Qwen3 14B: 18.5 (#280)

| Benchmark | Mistral Nemo | Qwen3 14B |
|---|---|---|
| DTBench | 48.6% | 64% |
| Epoch Capabilities Index | 118.68 | 138.23 |
| Kagi LLM Benchmark | — | 49.1% |
| CritPt | — | 0% |
| Chess Puzzles | — | 4% |
| LMCA | — | 18.2% |
| PIQA | 83.5% | — |

## Math

- Mistral Nemo: 25.5 (#268)
- Qwen3 14B: 38.6 (#133)

| Benchmark | Mistral Nemo | Qwen3 14B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 66.4% |
| MATH Level 5 | 10.8% | — |
| GSM8K | 84.2% | — |

## Knowledge

- Mistral Nemo: 12.3 (#298)
- Qwen3 14B: 39.3 (#134)

| Benchmark | Mistral Nemo | Qwen3 14B |
|---|---|---|
| GPQA Diamond | 29.9% | 63.8% |
| Vectara Hallucination Rate | — | 5.4% |
| BoolQ | 82.5% | — |

## Long Context

- Mistral Nemo: —
- Qwen3 14B: 38.1 (#204)

| Benchmark | Mistral Nemo | Qwen3 14B |
|---|---|---|
| Fiction.LiveBench | — | 62.5% |

## Writing & Preference

- Mistral Nemo: 28.5 (#296)
- Qwen3 14B: —

| Benchmark | Mistral Nemo | Qwen3 14B |
|---|---|---|
| EQ-Bench Creative Writing | 881 | — |

## FAQ

### Is Mistral Nemo better than Qwen3 14B?

Qwen3 14B is the stronger model overall, scoring 35.5 to 26.4 on the Noometry Index. Mistral Nemo costs 4.1× less per token, which makes it the better buy when Qwen3 14B's lead doesn't matter for your workload.

### Which is cheaper, Mistral Nemo or Qwen3 14B?

Mistral Nemo is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; Qwen3 14B lists at $0.35 and $1.40.

### Which has the bigger context window?

Qwen3 14B does, with 131K tokens against 128K.

### How many benchmarks do Mistral Nemo and Qwen3 14B share?

4 benchmarks have published results for both models. Mistral Nemo has 10 scored results on Noometry and Qwen3 14B has 12.