mistral-small-3-1-24b-instruct-2503
watsonx · chat model
mistral-small-3-1-24b-instruct-2503 is listed here as a chat model from watsonx. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$0.1000 / 1M tokens
Output
$0.3000 / 1M tokens
Cached input
N/A
Context
32.0K
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 | $0.1000 / 1M tokens |
| Output | $0.3000 / 1M tokens |
| Embedding | $0.1000 / 1M tokens |
Token limits
Context window
32.0K
Max input tokens
32.0K
Max output tokens
32.0K
Max tokens
32.0K
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 |
|---|---|---|---|---|---|
| MMLU | 81% | accuracy | Base model: Mistral Small 3 (mistral-small-3) | 2026-05-31 | Link |
| MMLU | 80.62% | accuracy | Base model: Mistral Small 3.1 (Mistral-Small-3.1-24B-Instruct-2503) | 2026-05-31 | Link |
| MATH | 69.30% | accuracy | Base model: Mistral Small 3.1 (Mistral-Small-3.1-24B-Instruct-2503) | 2026-05-31 | Link |
| HumanEval | 88.41% | pass@1 | Base model: Mistral Small 3.1 (Mistral-Small-3.1-24B-Instruct-2503) | 2026-05-31 | Link |
| LongBench v2 | 37.18% | score | Base model: Mistral Small 3.1 (Mistral-Small-3.1-24B-Instruct-2503) | 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 |
|---|---|---|---|---|---|
| mistral-small-3-1-24b-instruct-2503 watsonx | In $0.1000 / 1M tokens Out $0.3000 / 1M tokens |
Output: unknown | Function callingParallel function calling | 32.0K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| mistral-small-2503 watsonx | In $0.1000 / 1M tokens Out $0.3000 / 1M tokens |
Output: unknown | Function callingParallel function calling | 32.0K | Same provider Overall 60% |
| granite-4-h-small watsonx | In $0.0600 / 1M tokens Out $0.2500 / 1M tokens |
Output: unknown | Function callingParallel function calling | 20.5K | Same provider Overall 49% |
| Qwen3-32B nebius | In $0.1000 / 1M tokens Out $0.3000 / 1M tokens |
Output: unknown | Function calling | 32.8K | Partial I/O overlap Overall 47% |
| Qwen3-30B-A3B nebius | In $0.1000 / 1M tokens Out $0.3000 / 1M tokens |
Output: unknown | Function calling | 32.8K | Partial I/O overlap Overall 47% |
| Hermes-3-Llama-3.1-70B hyperbolic | In $0.1200 / 1M tokens Out $0.3000 / 1M tokens |
Output: unknown | Function callingParallel function calling | 32.8K | Partial I/O overlap Overall 46% |
| Qwen2.5-Coder-32B-Instruct hyperbolic | In $0.1200 / 1M tokens Out $0.3000 / 1M tokens |
Output: unknown | Function callingParallel function calling | 32.8K | Partial I/O overlap Overall 46% |
| llama-3-2-1b-instruct watsonx | In $0.1000 / 1M tokens Out $0.1000 / 1M tokens |
Output: unknown | Function callingParallel function calling | 128.0K | Same provider Overall 41% |
| granite-3-3-8b-instruct watsonx | In $0.2000 / 1M tokens Out $0.2000 / 1M tokens |
Output: unknown | Function callingParallel function calling | 8.2K | Same provider Overall 41% |
| llama-3-2-3b-instruct watsonx | In $0.1500 / 1M tokens Out $0.1500 / 1M tokens |
Output: unknown | Function callingParallel function calling | 128.0K | Same provider Overall 40% |
| llama-3-3-70b-instruct watsonx | In $0.7100 / 1M tokens Out $0.7100 / 1M tokens |
Output: unknown | Function callingParallel function calling | 128.0K | Same provider Overall 35% |
| gpt-4o-2024-08-06 github_copilot | In N/A Out N/A | imagetext
Output: text | Function callingParallel function calling | 16.4K | Partial I/O overlap Overall 33% |
| mistral-small-2503 azure_ai | In $0.1000 / 1M tokens Out $0.3000 / 1M tokens | imagetext
Output: text | Function calling | 128.0K | Partial I/O overlap Overall 30% |
| devstral-small-2505 Mistral | In $0.1000 / 1M tokens Out $0.3000 / 1M tokens | text
Output: text | Function calling | 128.0K | Partial I/O overlap Overall 30% |
| devstral-small-2507 Mistral | In $0.1000 / 1M tokens Out $0.3000 / 1M tokens | text
Output: text | Function calling | 128.0K | Partial I/O overlap Overall 30% |
| devstral-small-latest Mistral | In $0.1000 / 1M tokens Out $0.3000 / 1M tokens | text
Output: text | Function calling | 256.0K | Partial I/O overlap Overall 28% |
| labs-devstral-small-2512 Mistral | In $0.1000 / 1M tokens Out $0.3000 / 1M tokens | text
Output: text | Function calling | 256.0K | Partial I/O overlap Overall 28% |
| gpt-4-o-preview github_copilot | In N/A Out N/A |
Output: unknown | Function callingParallel function calling | 4.1K | Partial I/O overlap Overall 27% |
| gpt-4o-mini github_copilot | In N/A Out N/A | imagetext
Output: text | Function callingParallel function calling | 4.1K | Partial I/O overlap Overall 27% |
| gpt-4o-mini-2024-07-18 github_copilot | In N/A Out N/A | imagetext
Output: text | Function callingParallel function calling | 4.1K | Partial I/O overlap Overall 27% |
| mistral.voxtral-small-24b-2507 bedrock_converse | In $0.1000 / 1M tokens Out $0.3000 / 1M tokens | audiotext
Output: text | Low overlap | 8.2K | Partial I/O overlap Overall 24% |
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