Mistral
Mistral Small 3.2 24B
Mistral-Small-3.2-24B-Instruct-2506 is an updated 24B parameter model from Mistral optimized for instruction following, repetition reduction, and improved function calling. Compared to the 3.1 release, version 3.2 significantly improves accuracy on...
Cost / 1M tokens
Very low usage$0.075
input
—
cached input
$0.20
output
Context Window
256K
Up to 16K max output
Modalities
image, text → text
Mistral tokenizer
Quickstart & API
mistralai/mistral-small-3.2-24b-instructBest for & Strengths
Key Strengths
Recommended Workloads in ChatOSS
- Coding agents
- Screenshot-to-code workflows
- Open-source AI workflows
Verified Evaluations
Benchmarks & Frontier Comparison
How Mistral Small 3.2 24B compares against leading open-weight and proprietary frontier models across independent agentic coding and reasoning suites.
| Benchmark (Metric) | Mistral Small 3.2 24B | DeepSeek V4.1 Flash | GLM 5.3 | Kimi K3.1 Pro | Claude Opus 5.5 |
|---|---|---|---|---|---|
| Agentic & Software Engineering | |||||
| ChatOSS Agentic Coding Index (%) | — | 63.2% | 58.3% | 65% | 74.1% |
| SWE-Bench Verified (%) | — | 91.5% | 95.4% | 94.8% | 97% |
| DeepSWE v1.1 (Pass@1 %) | — | 77% | 69% | 73.5% | 74.2% |
| Vibe Code Bench v1.1 (%) | — | 87.7% | 78.1% | 88.4% | 90.3% |
| Terminal-Bench 4.0 (%) | — | 42.3% | 42% | 46.2% | 65.2% |
| Code Migration (%) | — | 45.6% | 44.2% | 52% | 66.7% |
| Intelligence & Token Economics | |||||
| Artificial Analysis Intelligence Index (0–100) | — | 39.5 | 44.8 | 55.1 | 57.6 |
| Input Price (/ 1M tokens) | $0.075 | $0.15 | $1.40 | $2.00 | $4.00 |
| Output Price (/ 1M tokens) | $0.20 | $0.60 | $4.40 | $10.00 | $20.00 |
Design Arena: Code Generation
Design Arena · Rank #137 (39.8% win)
Design Arena: Data Visualization
Design Arena · Rank #126 (43.3% win)
Design Arena: Game Dev
Design Arena · Rank #138 (39.4% win)
Design Arena: UI Components
Design Arena · Rank #130 (40.5% win)
Active Provider Endpoints (4)
Upstream inference providers serving Mistral Small 3.2 24B, with per-provider pricing, context limits, quantization, and 24-hour uptime.
| Provider | Input / 1M | Output / 1M | Cache Read / 1M | Context | Max Output | Quantization | Uptime (24h) |
|---|---|---|---|---|---|---|---|
DeepInfra deepinfra/fp8 | $0.075 | $0.20 | — | 128K | 16K | fp8 | 99.9% |
Parasailcache parasail/bf16 | $0.09 | $0.30 | $0.05 | 131K | 33K | bf16 | 100.0% |
Venice venice/fp8 | $0.094 | $0.25 | — | 256K | 16K | fp8 | 98.2% |
Mistralcache mistral/eu | $0.10 | $0.30 | $0.01 | 33K | 26K | — | 100.0% |
Supported API Parameters
Parameters accepted by this model when called through ChatOSS or OpenRouter.
Compare Similar Models
Browse all models →Mistral
Mistral Large 4
Mistral Large 4 is a frontier multimodal (text and image input) model from Mistral AI built for reasoning, coding, and agentic workloads. It offers a 1M-token context window with up...
Mistral
Mistral Medium 3.5
Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, and complex...
Mistral
Mistral Small 4
Mistral Small 4 is the next major release in the Mistral Small family, unifying the capabilities of several flagship Mistral models into a single system. It combines strong reasoning from...
Mistral
Devstral 2 2512
Devstral 2 is a state-of-the-art open-source model by Mistral AI specializing in agentic coding. It is a 123B-parameter dense transformer model supporting a 256K context window. Devstral 2 supports exploring...
Anthropic
Claude Opus 5.5
Claude Opus 5.5 is Anthropic's flagship model for demanding reasoning, coding, and long-horizon agentic work, succeeding Claude Opus 5. It is particularly strong at multi-step changes in large codebases, code...
Moonshot AI
Kimi K3.1 Pro
Kimi K3.1 Pro is Moonshot AI's flagship open-weight multimodal reasoning model and a post-trained successor to Kimi K3, with a 1M-token context window. It is built for long-horizon coding, 3D...