llama3.3-70b-instruct
gradient_ai · chat model
llama3.3-70b-instruct is listed here as a chat model from gradient_ai. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
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 | $0.6500 / 1M tokens |
| Output | $0.6500 / 1M tokens |
| Embedding | $0.6500 / 1M tokens |
Token limits
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 (CoT) | 86.0 | macro_avg/acc | Base model: Llama 3.3 (Llama-3.3 70B Instruct) | 2026-05-31 | Link |
| MMLU-Pro (CoT) | 68.9 | macro_avg/acc | Base model: Llama 3.3 (Llama-3.3 70B Instruct) | 2026-05-31 | Link |
| GPQA Diamond | 50.5 | acc | Base model: Llama 3.3 (Llama-3.3 70B Instruct) | 2026-05-31 | Link |
| HumanEval | 88.4 | pass@1 | Base model: Llama 3.3 (Llama-3.3 70B Instruct) | 2026-05-31 | Link |
| MATH (CoT) | 77.0 | sympy_intersection_score | Base model: Llama 3.3 (Llama-3.3 70B Instruct) | 2026-05-31 | Link |
| MMLU (CoT) | 86.0 | macro_avg/acc | Base model: Llama 3.3 (Llama-3.3 70B Instruct) | 2026-05-31 | Link |
| MMLU-Pro (CoT) | 68.9 | macro_avg/acc | Base model: Llama 3.3 (Llama-3.3 70B Instruct) | 2026-05-31 | Link |
| IFEval | 92.1 | Base model: Llama 3.3 (Llama-3.3 70B Instruct) | 2026-05-31 | Link | |
| HumanEval | 88.4 | pass@1 | Base model: Llama 3.3 (Llama-3.3 70B Instruct) | 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.
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| llama3.3-70b-instruct gradient_ai | In $0.6500 / 1M tokens Out $0.6500 / 1M tokens |
Output: unknown | No public capabilities | 2.0K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| Llama-3.3-70B-Instruct azure_ai | In $0.7100 / 1M tokens Out $0.7100 / 1M tokens | text
Output: text | Low overlap | 2.0K | Partial I/O overlap Overall 33% |
| Meta-Llama-3.1-8B-Instruct azure_ai | In $0.3000 / 1M tokens Out $0.6100 / 1M tokens | text
Output: text | Low overlap | 2.0K | Partial I/O overlap Overall 29% |
| llama-v2-70b-chat fireworks_ai | In $0.9000 / 1M tokens Out $0.9000 / 1M tokens | text
Output: text | Low overlap | 2.0K | Partial I/O overlap Overall 29% |
| qwen-vl-plus OpenRouter | In $0.2100 / 1M tokens Out $0.6300 / 1M tokens |
Output: unknown | Low overlap | 2.0K | Partial I/O overlap Overall 29% |
| meta.llama3-1-70b-instruct-v1:0 Bedrock | In $0.9900 / 1M tokens Out $0.9900 / 1M tokens | text
Output: text | Low overlap | 2.0K | Partial I/O overlap Overall 28% |
| us.meta.llama3-1-70b-instruct-v1:0 Bedrock | In $0.9900 / 1M tokens Out $0.9900 / 1M tokens | text
Output: text | Low overlap | 2.0K | Partial I/O overlap Overall 28% |
| ai21.jamba-instruct-v1:0 Bedrock | In $0.5000 / 1M tokens Out $0.7000 / 1M tokens | text
Output: text | Low overlap | 4.1K | Partial I/O overlap Overall 25% |
| wizardlm-2-8x22b novita | In $0.6200 / 1M tokens Out $0.6200 / 1M tokens | text
Output: text | Low overlap | 8.0K | Partial I/O overlap Overall 23% |
| mixtral-8x22b-instruct OpenRouter | In $0.6500 / 1M tokens Out $0.6500 / 1M tokens | filetext
Output: text | Low overlap | 65.5K | Partial I/O overlap Overall 20% |
| Mixtral-8x7B-Instruct-v0.1 ovhcloud | In $0.6300 / 1M tokens Out $0.6300 / 1M tokens |
Output: unknown | Low overlap | 32.0K | Partial I/O overlap Overall 20% |
| DeepSeek-R1-Distill-Llama-70B ovhcloud | In $0.6700 / 1M tokens Out $0.6700 / 1M tokens |
Output: unknown | Low overlap | 131.0K | Partial I/O overlap Overall 20% |
| Meta-Llama-3_1-70B-Instruct ovhcloud | In $0.6700 / 1M tokens Out $0.6700 / 1M tokens |
Output: unknown | Low overlap | 131.0K | Partial I/O overlap Overall 20% |
| Meta-Llama-3_3-70B-Instruct ovhcloud | In $0.6700 / 1M tokens Out $0.6700 / 1M tokens |
Output: unknown | Low overlap | 131.0K | Partial I/O overlap Overall 20% |
| deepseek-r1-distill-llama-70b gradient_ai | In $0.9900 / 1M tokens Out $0.9900 / 1M tokens |
Output: unknown | Low overlap | 8.0K | Same provider Overall 17% |
| anthropic-claude-3.5-haiku gradient_ai | In $0.8000 / 1M tokens Out $4.0000 / 1M tokens |
Output: unknown | Low overlap | 1.0K | Same provider Overall 17% |
| mistral-nemo-instruct-2407 gradient_ai | In $0.3000 / 1M tokens Out $0.3000 / 1M tokens |
Output: unknown | Low overlap | 512 | Same provider Overall 13% |
| anthropic-claude-3.5-sonnet gradient_ai | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens |
Output: unknown | Low overlap | 1.0K | Same provider Overall 10% |
| anthropic-claude-3.7-sonnet gradient_ai | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens |
Output: unknown | Low overlap | 1.0K | Same provider Overall 10% |
| llama3-8b-instruct gradient_ai | In $0.2000 / 1M tokens Out $0.2000 / 1M tokens |
Output: unknown | Low overlap | 512 | Same provider Overall 10% |
| ai21.jamba-1-5-mini-v1:0 Bedrock | In $0.2000 / 1M tokens Out $0.4000 / 1M tokens | text
Output: text | Low overlap | 256.0K | Partial I/O overlap Overall 10% |
| us.writer.palmyra-x4-v1:0 bedrock_converse | In $2.5000 / 1M tokens Out $10.0000 / 1M tokens | pdftext
Output: text | Low overlap | 8.2K | Partial I/O overlap Overall 7% |
| ai21.j2-mid-v1 Bedrock | In $12.5000 / 1M tokens Out $12.5000 / 1M tokens | text
Output: text | Low overlap | 8.2K | Partial I/O overlap Overall 5% |
| ai21.j2-ultra-v1 Bedrock | In $18.8000 / 1M tokens Out $18.8000 / 1M tokens | text
Output: text | Low overlap | 8.2K | Partial I/O overlap Overall 4% |
| ai21.jamba-1-5-large-v1:0 Bedrock | In $2.0000 / 1M tokens Out $8.0000 / 1M tokens | text
Output: text | Low overlap | 256.0K | Partial I/O overlap Overall 4% |
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