codestral@latest
vertex_ai-mistral_models · chat model
codestral@latest is listed here as a chat model from vertex_ai-mistral_models. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$0.2000 / 1M tokens
Output
$0.6000 / 1M tokens
Cached input
N/A
Context
128.0K
Quick read
Best for
Use this page when you need a fast view of cost, context size, and supported features before testing the model in your own workload.
Things to verify
Always check the provider page for discounts, cache pricing, region rules, and any model limits that may not appear in public metadata.
Pricing
| Item | Price |
|---|---|
| Input | $0.2000 / 1M tokens |
| Output | $0.6000 / 1M tokens |
| Embedding | $0.2000 / 1M tokens |
Token limits
Context window
128.0K
Max input tokens
128.0K
Max output tokens
128.0K
Max tokens
128.0K
Capabilities
| Capability | Supported |
|---|---|
| Vision | — |
| Function calling | ✅ |
| Parallel function calling | — |
| Tool choice | ✅ |
| Prompt caching | — |
| Reasoning | — |
| Response schema | — |
| System messages | — |
| Audio input | — |
| Audio output | — |
| Web search | — |
| PDF input | — |
| Video input | — |
Benchmarks
Most benchmark rows are attached to the base model family rather than this provider route. Open benchmark explorer
| Benchmark | Score | Metric | Scope | Checked | Source |
|---|---|---|---|---|---|
| Codestral 25.01 overview table | 81.1% | HumanEval | Base model: Codestral (Codestral-2405) | 2026-05-31 | Link |
| Codestral 25.01 overview table | 78.2% | MBPP | Base model: Codestral (Codestral-2405) | 2026-05-31 | Link |
| Codestral 25.01 overview table | 51.3% | CruxEval | Base model: Codestral (Codestral-2405) | 2026-05-31 | Link |
| Codestral 25.01 overview table | 31.5% | LiveCodeBench | Base model: Codestral (Codestral-2405) | 2026-05-31 | Link |
| Codestral 25.01 overview table | 34.0% | RepoBench | Base model: Codestral (Codestral-2405) | 2026-05-31 | Link |
| Codestral 25.01 overview table | 63.5% | Spider | Base model: Codestral (Codestral-2405) | 2026-05-31 | Link |
| Codestral 25.01 overview table | 50.5% | CanItEdit | Base model: Codestral (Codestral-2405) | 2026-05-31 | Link |
| Codestral 25.01 overview table | 65.6% | HumanEval (average) | Base model: Codestral (Codestral-2405) | 2026-05-31 | Link |
| Codestral 25.01 overview table | 82.1% | HumanEvalFIM (average) | Base model: Codestral (Codestral-2405) | 2026-05-31 | Link |
| Aider Polyglot | 11.1% | percent correct | Base model: Codestral (Codestral 25.01) | 2026-05-31 | Link |
Sources
| Source links | |
| Pricing data | LiteLLM model cost map |
| Synced at | 2026-05-28 |
Similar models
This list is ranked by overall similarity. Use filters to emphasize the lens that matters most for the replacement you are making.
Comparing from
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| codestral@latest vertex_ai-mistral_models | In $0.2000 / 1M tokens Out $0.6000 / 1M tokens |
Output: unknown | Function callingTool choice | 128.0K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| codestral-2501 vertex_ai-mistral_models | In $0.2000 / 1M tokens Out $0.6000 / 1M tokens |
Output: unknown | Function callingTool choice | 128.0K | Same provider Overall 60% |
| codestral@2405 vertex_ai-mistral_models | In $0.2000 / 1M tokens Out $0.6000 / 1M tokens |
Output: unknown | Function callingTool choice | 128.0K | Same provider Overall 60% |
| grok-3-mini vercel_ai_gateway | In $0.3000 / 1M tokens Out $0.5000 / 1M tokens | text
Output: text | Function callingTool choice | 131.1K | Partial I/O overlap Overall 55% |
| Llama-3.3-70B-Instruct deepinfra | In $0.2300 / 1M tokens Out $0.4000 / 1M tokens | text
Output: text | Function callingTool choice | 131.1K | Partial I/O overlap Overall 55% |
| llama3.1-70b cerebras | In $0.6000 / 1M tokens Out $0.6000 / 1M tokens |
Output: unknown | Function callingTool choice | 128.0K | Partial I/O overlap Overall 54% |
| QwQ-32B deepinfra | In $0.1500 / 1M tokens Out $0.4000 / 1M tokens | text
Output: text | Function callingTool choice | 131.1K | Partial I/O overlap Overall 54% |
| codestral-2@001 vertex_ai-mistral_models | In $0.3000 / 1M tokens Out $0.9000 / 1M tokens |
Output: unknown | Function callingTool choice | 128.0K | Same provider Overall 53% |
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Output: unknown | Function callingTool choice | 128.0K | Same provider Overall 53% |
| codestral-2@001 vertex_ai-mistral_models | In $0.3000 / 1M tokens Out $0.9000 / 1M tokens |
Output: unknown | Function callingTool choice | 128.0K | Same provider Overall 53% |
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Output: unknown | Function callingTool choice | 128.0K | Same provider Overall 53% |
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Output: text | Function callingTool choice | 128.0K | Partial I/O overlap Overall 52% |
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Output: text | Function callingTool choice | 41.0K | Partial I/O overlap Overall 48% |
| deepseek-v3-0324 lambda_ai | In $0.2000 / 1M tokens Out $0.6000 / 1M tokens |
Output: unknown | Function callingTool choice | 131.1K | Partial I/O overlap Overall 47% |
| deepseek-llama3.3-70b lambda_ai | In $0.2000 / 1M tokens Out $0.6000 / 1M tokens |
Output: unknown | Function callingTool choice | 131.1K | Partial I/O overlap Overall 45% |
| deepseek-r1-0528 lambda_ai | In $0.2000 / 1M tokens Out $0.6000 / 1M tokens |
Output: unknown | Function callingTool choice | 131.1K | Partial I/O overlap Overall 45% |
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Output: text | Function callingTool choice | 1.0M | Partial I/O overlap Overall 45% |
| command-r cohere_chat | In $0.1500 / 1M tokens Out $0.6000 / 1M tokens |
Output: unknown | Function callingTool choice | 4.1K | Partial I/O overlap Overall 43% |
| command-r-08-2024 cohere_chat | In $0.1500 / 1M tokens Out $0.6000 / 1M tokens |
Output: unknown | Function callingTool choice | 4.1K | Partial I/O overlap Overall 43% |
| Llama-3.3-70B-Instruct azure_ai | In $0.7100 / 1M tokens Out $0.7100 / 1M tokens | text
Output: text | Function callingTool choice | 2.0K | Partial I/O overlap Overall 37% |
| DeepSeek-R1-Distill-Llama-70B deepinfra | In $0.2000 / 1M tokens Out $0.6000 / 1M tokens | text
Output: text | Low overlap | 131.1K | Partial I/O overlap Overall 35% |
| gpt-3.5-turbo Azure | In $0.5000 / 1M tokens Out $1.5000 / 1M tokens | text
Output: text | Function callingTool choice | 4.1K | Partial I/O overlap Overall 33% |
| gpt-35-turbo Azure | In $0.5000 / 1M tokens Out $1.5000 / 1M tokens | text
Output: text | Function callingTool choice | 4.1K | Partial I/O overlap Overall 33% |
| llama-4-maverick-17b-128e-instruct Groq | In $0.2000 / 1M tokens Out $0.6000 / 1M tokens |
Output: unknown | Function callingTool choice | 8.2K | Partial I/O overlap Overall 33% |
| gpt-35-turbo-16k-0613 Azure | In $3.0000 / 1M tokens Out $4.0000 / 1M tokens | text
Output: text | Function callingTool choice | 4.1K | Partial I/O overlap Overall 28% |
| gpt-4 Azure | In $30.0000 / 1M tokens Out $60.0000 / 1M tokens | imagetext
Output: text | Function callingTool choice | 4.1K | Partial I/O overlap Overall 26% |
| gpt-4-0613 Azure | In $30.0000 / 1M tokens Out $60.0000 / 1M tokens | text
Output: text | Function callingTool choice | 4.1K | Partial I/O overlap Overall 26% |
No models match this filter.