Codestral 22B v0.1 vs GPT-5.4
At a Glance
| Compare | Codestral 22B v0.1Mistral AI | GPT-5.4OpenAI |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #14 of 4672.8 score · 3/3 sources · complete |
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #36 of 44$0.274 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | UnrankedNot in the 38-model eligible cohort | #25 of 3850.1 score · 3/3 sources · complete |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $2.50Openai ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $15.00Openai ↗ · Sep 3, 2026 |
| Context windowMaximum documented tokens | 33K | 1,050K |
| 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 | Codestral-22B-v0.1 | GPT-5.4 |
|---|---|---|
| Developer | Mistral AI | OpenAI |
| Family | Codestral 22b V0 1 | Gpt 5 4 |
| Model | Codestral-22B-v0.1 | GPT-5.4 |
| Version | Codestral-22B-v0.1 | GPT-5.4 |
| Lifecycle | active | active |
| Released | Unknown | 2026-03-05 |
| Knowledge cutoff | Unknown | 2025-08-31 |
| Input modalities | Text | Text, Image |
| Output modalities | Text | Text |
| Context window | 33K | 1,050K |
| Total parameters | 22.2B | Unknown |
| Active parameters | Unknown | Unknown |
| License | other | 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 |
Codestral 22B v0.1 Capabilities
GPT-5.4 Capabilities
Primary Evidence
Sources and Freshness
Questions
Codestral 22B v0.1 vs GPT-5.4 FAQs
Is Codestral 22B v0.1 or GPT-5.4 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Codestral 22B v0.1 and GPT-5.4, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Codestral 22B v0.1 or GPT-5.4?+
Only GPT-5.4 has a directly sourced input price: $2.50 per million tokens. Only GPT-5.4 has a directly sourced output price: $15.00 per million tokens.
Which has a larger context window, Codestral 22B v0.1 or GPT-5.4?+
GPT-5.4 has the larger sourced context window. Codestral 22B v0.1 supports 33K and GPT-5.4 supports 1,050K.
Which performs better in benchmarks, Codestral 22B v0.1 or GPT-5.4?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Codestral 22B v0.1 or GPT-5.4 be self-hosted?+
Codestral 22B v0.1 is the only model in this pair currently marked as self-hostable. Codestral 22B v0.1 is open weight; GPT-5.4 is not marked open weight.
Can Codestral 22B v0.1 and GPT-5.4 understand images?+
Codestral 22B v0.1 is not documented with image input; GPT-5.4 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Codestral 22B v0.1 or GPT-5.4?+
Neither has a larger sourced maximum output. Codestral 22B v0.1 is — and GPT-5.4 is 128K.
Do Codestral 22B v0.1 and GPT-5.4 support reasoning and tool use?+
Codestral 22B v0.1: none of these features are definitively sourced. GPT-5.4: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Codestral 22B v0.1 or GPT-5.4?+
Codestral 22B v0.1 has 0 sourced provider routes; GPT-5.4 has 2, so GPT-5.4 has broader tracked availability.
Which offers better value, Codestral 22B v0.1 or GPT-5.4?+
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.