Compare AI models
| Specifications | ||
ParametersThe learned values that shape how a model responds. B means billion and T means trillion. For mixture-of-experts models, the total count is larger than the number active for each token. Parameter count alone does not measure quality. | 24B | — |
Context windowHow much information the model can work with in one request, measured in tokens — pieces of words or other data. This includes your question, attachments, conversation and reply. Limits can vary by model variant and provider. | 128k | 128k |
| These models have no shared benchmark scores. | ||
SWE-Bench VerifiedCoding — Real coding tasks pulled from open-source projects — the AI has to find and fix actual bugs. A human-checked version of the original SWE-Bench. Higher is better. | 46.8% | — |
| Overview | ||
| Company | Mistral | OpenAI |
| Release date | May 21 2025 | Feb 12 2026 |
| Access | Open Weight | Closed |
| Model details | View model | View model |
Other comparisons
Devstral SmallvsClaude Haiku 5.5GPT-5.3-Codex-SparkvsClaude Haiku 5.5Devstral SmallvsGemini 4 ArgonGPT-5.3-Codex-SparkvsGemini 4 ArgonDevstral SmallvsMuse Spark OpenGPT-5.3-Codex-SparkvsMuse Spark OpenDevstral SmallvsGrok 4.7GPT-5.3-Codex-SparkvsGrok 4.7Devstral SmallvsDeepSeek-V4.1-Flash-1017GPT-5.3-Codex-SparkvsDeepSeek-V4.1-Flash-1017Devstral SmallvsKimi K3GPT-5.3-Codex-SparkvsKimi K3Frequently asked questions
Devstral Small and GPT-5.3-Codex-Spark don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Devstral Small shipped 267 days before GPT-5.3-Codex-Spark, so benchmark comparisons should account for the intervening progress.
Context windows are 128k (Devstral Small) vs 128k (GPT-5.3-Codex-Spark). Devstral Small is open weight, while GPT-5.3-Codex-Spark is closed.
Direct benchmark comparisons are unavailable — Devstral Small and GPT-5.3-Codex-Spark don't publish scores on any of the same benchmarks.