llama-v3p2-11b-vision-instruct
fireworks_ai · chat model
llama-v3p2-11b-vision-instruct is listed here as a chat model from fireworks_ai. 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
$0.2000 / 1M tokens
Cached input
N/A
Context
16.4K
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 | $0.2000 / 1M tokens |
| Embedding | $0.2000 / 1M tokens |
Token limits
Context window
16.4K
Max input tokens
16.4K
Max output tokens
16.4K
Max tokens
16.4K
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 | 32.2 | macro_avg/acc_char | Base model: Llama 3.2 (Llama 3.2 1B) | 2026-05-31 | Link |
| ARC-Challenge | 32.8 | acc_char | Base model: Llama 3.2 (Llama 3.2 1B) | 2026-05-31 | Link |
| SQuAD | 49.2 | em | Base model: Llama 3.2 (Llama 3.2 1B) | 2026-05-31 | Link |
| MMLU | 58 | macro_avg/acc_char | Base model: Llama 3.2 (Llama 3.2 3B) | 2026-05-31 | Link |
| ARC-Challenge | 69.1 | acc_char | Base model: Llama 3.2 (Llama 3.2 3B) | 2026-05-31 | Link |
| SQuAD | 67.7 | em | Base model: Llama 3.2 (Llama 3.2 3B) | 2026-05-31 | Link |
| MMLU | 49.3 | macro_avg/acc | Base model: Llama 3.2 (Llama 3.2 1B bf16) | 2026-05-31 | Link |
| IFEval | 59.5 | Avg(Prompt/Instruction acc Loose/Strict) | Base model: Llama 3.2 (Llama 3.2 1B bf16) | 2026-05-31 | Link |
| MMLU | 63.4 | macro_avg/acc | Base model: Llama 3.2 (Llama 3.2 3B bf16) | 2026-05-31 | Link |
| IFEval | 77.4 | Avg(Prompt/Instruction acc Loose/Strict) | Base model: Llama 3.2 (Llama 3.2 3B bf16) | 2026-05-31 | Link |
Sources
| Source links | |
| Pricing data | LiteLLM model cost map |
| Synced at | 2026-05-28 |
Docs
| Official docs |
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 |
|---|---|---|---|---|---|
| llama-v3p2-11b-vision-instruct fireworks_ai | In $0.2000 / 1M tokens Out $0.2000 / 1M tokens | imagetext
Output: text | VisionResponse schema | 16.4K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| llama-v3p2-90b-vision-instruct fireworks_ai | In $0.9000 / 1M tokens Out $0.9000 / 1M tokens | imagetext
Output: text | VisionResponse schema | 16.4K | Same provider Overall 84% |
| gemma-3-27b-it novita | In $0.1190 / 1M tokens Out $0.2000 / 1M tokens | imagetext
Output: text | Vision | 16.4K | Text + image covered Overall 80% |
| gpt-4o-mini vercel_ai_gateway | In $0.1500 / 1M tokens Out $0.6000 / 1M tokens | imagetext
Output: text | VisionResponse schema | 16.4K | Text + image covered Overall 78% |
| gpt-4o-mini Azure | In $0.1500 / 1M tokens Out $0.6000 / 1M tokens | imagetext
Output: text | VisionResponse schema | 16.4K | Text + image covered Overall 75% |
| gpt-4o-mini-2024-07-18 Azure | In $0.1650 / 1M tokens Out $0.6600 / 1M tokens | imagetext
Output: text | VisionResponse schema | 16.4K | Text + image covered Overall 74% |
| gpt-4o-mini Azure | In $0.1650 / 1M tokens Out $0.6600 / 1M tokens | imagetext
Output: text | VisionResponse schema | 16.4K | Text + image covered Overall 74% |
| pixtral-12b vercel_ai_gateway | In $0.1500 / 1M tokens Out $0.1500 / 1M tokens | imagetext
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| pixtral-12b-2409 Mistral | In $0.1500 / 1M tokens Out $0.1500 / 1M tokens | imagetext
Output: text | VisionResponse schema | 128.0K | Text + image covered Overall 69% |
| ministral-8b-2512 Mistral | In $0.1500 / 1M tokens Out $0.1500 / 1M tokens | imagetext
Output: text | VisionResponse schema | 262.1K | Text + image covered Overall 68% |
| nova-lite vercel_ai_gateway | In $0.0600 / 1M tokens Out $0.2400 / 1M tokens | imagetext video
Output: text | VisionResponse schema | 8.2K | Text + image covered Overall 68% |
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Output: text | Low overlap | 32.1K | Same provider Overall 68% |
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Output: text | Low overlap | 8.2K | Text + image covered Overall 68% |
| firesearch-ocr-v6 fireworks_ai | In $0.2000 / 1M tokens Out $0.2000 / 1M tokens | imagetext
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| llama-v3p1-8b-instruct fireworks_ai | In $0.1000 / 1M tokens Out $0.1000 / 1M tokens | imagetext
Output: text | Response schema | 16.4K | Same provider Overall 65% Missing image |
| llama4-maverick-instruct-basic fireworks_ai | In $0.2200 / 1M tokens Out $0.8800 / 1M tokens | imagetext
Output: text | Response schema | 131.1K | Same provider Overall 65% |
| llama4-scout-instruct-basic fireworks_ai | In $0.1500 / 1M tokens Out $0.6000 / 1M tokens | imagetext
Output: text | Response schema | 131.1K | Same provider Overall 65% |
| nova-pro vercel_ai_gateway | In $0.8000 / 1M tokens Out $3.2000 / 1M tokens | imagetext video
Output: text | VisionResponse schema | 8.2K | Text + image covered Overall 59% |
| anthropic.claude-3-5-sonnet-20240620-v1:0 Bedrock | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | imagetext
Output: text | VisionResponse schema | 4.1K | Text + image covered Overall 57% |
| anthropic.claude-3-opus-20240229-v1:0 Bedrock | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | imagetext
Output: text | VisionResponse schema | 4.1K | Text + image covered Overall 56% |
| eu.anthropic.claude-3-opus-20240229-v1:0 Bedrock | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | imagetext
Output: text | VisionResponse schema | 4.1K | Text + image covered Overall 56% |
| llama-guard-4-12b Groq | In $0.2000 / 1M tokens Out $0.2000 / 1M tokens | imagetext
Output: unknown | Low overlap | 8.2K | Partial I/O overlap Overall 28% Missing text, image |
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| Llama-3.3-70B-Instruct crusoe | In $0.2000 / 1M tokens Out $0.2000 / 1M tokens | imagetext
Output: unknown | Low overlap | 131.1K | Partial I/O overlap Overall 22% Missing text, image |
| llama3-8b-instruct gradient_ai | In $0.2000 / 1M tokens Out $0.2000 / 1M tokens | imagetext
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No models match this filter.