Ministral 3 8B Base 2512 vs GPT-5.3 Codex
At a Glance
| Compare |  Ministral 3 8B Base 2512Mistral AI |  GPT-5.3 CodexOpenAI |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $1.75Openai ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $14.00Openai ↗ · Sep 3, 2026 |
| Context windowMaximum documented tokens | 262K | 400K |
| Model facts checked | Aug 28, 2026View model evidence → | Sep 3, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
Side-by-Side Facts
| Field | Ministral-3-8B-Base-2512 | GPT-5.3-Codex |
|---|---|---|
| Developer | Mistral AI | OpenAI |
| Family | Ministral 3 8b Base 2512 | Gpt 5 3 |
| Model | Ministral-3-8B-Base-2512 | GPT-5.3-Codex |
| Version | Ministral-3-8B-Base-2512 | GPT-5.3-Codex |
| Lifecycle | active | active |
| Released | Unknown | Unknown |
| Knowledge cutoff | Unknown | 2025-08-31 |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 262K | 400K |
| Total parameters | 8.9B | Unknown |
| Active parameters | Unknown | Unknown |
| License | apache-2.0 | Unknown |
| Open weights | Yes | No |
| API available | Unknown | Yes |
| Self-hostable | Yes | No |
| Provider access | Unknown | Openai (Standard), Openrouter (Standard) |
| Capabilities | generation | chat, generation, reasoning, structured_outputs, tools |
Ministral 3 8B Base 2512 Capabilities
GPT-5.3 Codex Capabilities
Related Comparisons
All image comparisons →| A | Pair | B | Context |
|---|---|---|---|
Ministral-3-8B-Base-2512Mistral AI | vs | GPT-6 AstraOpenAI | cross-developer peersimage, text |
Claude Fable 5.1Anthropic | vs | Ministral-3-8B-Base-2512Mistral AI | cross-developer peersimage, text |
 Gemini 3.1 ProGoogle DeepMind | vs | Ministral-3-8B-Base-2512Mistral AI | cross-developer peerstext |
 DeepSeek-V4.1-FlashDeepSeek | vs | Ministral-3-8B-Base-2512Mistral AI | cross-developer peersimage, text |
Ministral-3-8B-Base-2512Mistral AI | vs | Grok 4.6xAI | cross-developer peersimage, text |
Ministral-3-8B-Base-2512Mistral AI | vs |  Qwen3.8-MaxQwen | cross-developer peersimage, text |
Ministral-3-8B-Base-2512Mistral AI | vs |  Kimi-K3Moonshot AI | cross-developer peersimage, text |
 MiniMax-M3MiniMax | vs | Ministral-3-8B-Base-2512Mistral AI | cross-developer peersimage, text |
Ministral-3-8B-Base-2512Mistral AI | vs |  GLM-5.3Z.ai | cross-developer peerstext |
Ministral-3-8B-Base-2512Mistral AI | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | Ministral-3-8B-Base-2512Mistral AI | cross-developer peersimage, text |
Ministral-3-8B-Base-2512Mistral AI | vs | Mistral Large 3Mistral AI | developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Ministral 3 8B Base 2512 vs GPT-5.3 Codex FAQs
Is Ministral 3 8B Base 2512 or GPT-5.3 Codex better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Ministral 3 8B Base 2512 and GPT-5.3 Codex, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Ministral 3 8B Base 2512 or GPT-5.3 Codex?+
Only GPT-5.3 Codex has a directly sourced input price: $1.75 per million tokens. Only GPT-5.3 Codex has a directly sourced output price: $14.00 per million tokens.
Which has a larger context window, Ministral 3 8B Base 2512 or GPT-5.3 Codex?+
GPT-5.3 Codex has the larger sourced context window. Ministral 3 8B Base 2512 supports 262K and GPT-5.3 Codex supports 400K.
Which performs better in benchmarks, Ministral 3 8B Base 2512 or GPT-5.3 Codex?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Ministral 3 8B Base 2512 or GPT-5.3 Codex be self-hosted?+
Ministral 3 8B Base 2512 is the only model in this pair currently marked as self-hostable. Ministral 3 8B Base 2512 is open weight; GPT-5.3 Codex is not marked open weight.
Can Ministral 3 8B Base 2512 and GPT-5.3 Codex understand images?+
Ministral 3 8B Base 2512 is documented with image input; GPT-5.3 Codex is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Ministral 3 8B Base 2512 or GPT-5.3 Codex?+
Neither has a larger sourced maximum output. Ministral 3 8B Base 2512 is — and GPT-5.3 Codex is 128K.
Do Ministral 3 8B Base 2512 and GPT-5.3 Codex support reasoning and tool use?+
Ministral 3 8B Base 2512: image input. GPT-5.3 Codex: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Ministral 3 8B Base 2512 or GPT-5.3 Codex?+
Ministral 3 8B Base 2512 has 0 sourced provider routes; GPT-5.3 Codex has 2, so GPT-5.3 Codex has broader tracked availability.
Which offers better value, Ministral 3 8B Base 2512 or GPT-5.3 Codex?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.