mistral-7b-instruct
perplexity · chat model
mistral-7b-instruct is listed here as a chat model from perplexity. 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 | $0.0700 / 1M tokens |
| Output | $0.2800 / 1M tokens |
| Embedding | $0.0700 / 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 |
|---|---|---|---|---|---|
| Mistral 7B comparison table | 49.93 | IFEval 0-shot | Base model: Mistral 7B (Mistral 7B) | 2026-05-31 | Link |
| Mistral 7B comparison table | 7.62 | MT-Bench | Base model: Mistral 7B (Mistral 7B) | 2026-05-31 | Link |
| Mistral 7B comparison table | 37.15 | AGI-Eval 5-shot | Base model: Mistral 7B (Mistral 7B) | 2026-05-31 | Link |
| Mistral 7B comparison table | 62.01 | MMLU 5-shot | Base model: Mistral 7B (Mistral 7B) | 2026-05-31 | Link |
| Mistral 7B comparison table | 30.34 | MMLU-Pro 5-shot | Base model: Mistral 7B (Mistral 7B) | 2026-05-31 | Link |
| Mistral 7B comparison table | 47.40 | OBQA 0-shot | Base model: Mistral 7B (Mistral 7B) | 2026-05-31 | Link |
| Mistral 7B comparison table | 59.64 | SIQA 0-shot | Base model: Mistral 7B (Mistral 7B) | 2026-05-31 | Link |
| Mistral 7B comparison table | 84.61 | HellaSwag 10-shot | Base model: Mistral 7B (Mistral 7B) | 2026-05-31 | Link |
| Mistral 7B comparison table | 78.85 | WinoGrande 5-shot | Base model: Mistral 7B (Mistral 7B) | 2026-05-31 | Link |
| Mistral 7B comparison table | 59.68 | TruthfulQA 0-shot | Base model: Mistral 7B (Mistral 7B) | 2026-05-31 | Link |
| Mistral 7B comparison table | 87.34 | BoolQ 5-shot | Base model: Mistral 7B (Mistral 7B) | 2026-05-31 | Link |
| Mistral 7B comparison table | 18.66 | SQuAD 2.0 0-shot | Base model: Mistral 7B (Mistral 7B) | 2026-05-31 | Link |
| Mistral 7B comparison table | 63.65 | ARC-C 25-shot | Base model: Mistral 7B (Mistral 7B) | 2026-05-31 | Link |
| Mistral 7B comparison table | 30.45 | GPQA 0-shot | Base model: Mistral 7B (Mistral 7B) | 2026-05-31 | Link |
| Mistral 7B comparison table | 46.73 | BBH 3-shot | Base model: Mistral 7B (Mistral 7B) | 2026-05-31 | Link |
| Mistral 7B comparison table | 34.76 | HumanEvalSynthesis pass@1 | Base model: Mistral 7B (Mistral 7B) | 2026-05-31 | Link |
| Mistral 7B comparison table | 21.65 | HumanEvalExplain pass@1 | Base model: Mistral 7B (Mistral 7B) | 2026-05-31 | Link |
| Mistral 7B comparison table | 53.05 | HumanEvalFix pass@1 | Base model: Mistral 7B (Mistral 7B) | 2026-05-31 | Link |
| Mistral 7B comparison table | 38.60 | MBPP pass@1 | Base model: Mistral 7B (Mistral 7B) | 2026-05-31 | Link |
| Mistral 7B comparison table | 37.68 | GSM8k 5-shot, cot | Base model: Mistral 7B (Mistral 7B) | 2026-05-31 | Link |
| Mistral 7B comparison table | 13.10 | MATH 4-shot | Base model: Mistral 7B (Mistral 7B) | 2026-05-31 | Link |
| Mistral 7B comparison table | 56.57 | PAWS-X (7 langs) 0-shot | Base model: Mistral 7B (Mistral 7B) | 2026-05-31 | Link |
| Mistral 7B comparison table | 35.27 | MGSM (6 langs) 5-shot | Base model: Mistral 7B (Mistral 7B) | 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 |
|---|---|---|---|---|---|
| mistral-7b-instruct perplexity | In $0.0700 / 1M tokens Out $0.2800 / 1M tokens |
Output: unknown | No public capabilities | 4.1K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| mixtral-8x7b-instruct perplexity | In $0.0700 / 1M tokens Out $0.2800 / 1M tokens |
Output: unknown | Low overlap | 4.1K | Same provider Overall 35% |
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Output: text | Low overlap | 4.1K | Partial I/O overlap Overall 34% |
| Phi-4-multimodal-instruct azure_ai | In $0.0800 / 1M tokens Out $0.3200 / 1M tokens | audioimage
Output: text | Low overlap | 4.1K | Partial I/O overlap Overall 33% |
| Phi-4-mini-reasoning azure_ai | In $0.0800 / 1M tokens Out $0.3200 / 1M tokens | text
Output: text | Low overlap | 4.1K | Partial I/O overlap Overall 33% |
| llama-2-7b replicate | In $0.0500 / 1M tokens Out $0.2500 / 1M tokens | text
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| ernie-4.5-21B-a3b novita | In $0.0700 / 1M tokens Out $0.2800 / 1M tokens | text
Output: text | Low overlap | 8.0K | Partial I/O overlap Overall 28% |
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Output: unknown | Low overlap | 8.2K | Same provider Overall 28% |
| pplx-7b-online perplexity | In N/A Out $0.2800 / 1M tokens |
Output: unknown | Low overlap | 4.1K | Same provider Overall 26% |
| sonar-small-chat perplexity | In $0.0700 / 1M tokens Out $0.2800 / 1M tokens |
Output: unknown | Low overlap | 16.4K | Same provider Overall 24% |
| ernie-4.5-21B-a3b-thinking novita | In $0.0700 / 1M tokens Out $0.2800 / 1M tokens | text
Output: text | Low overlap | 65.5K | Partial I/O overlap Overall 21% |
| 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 21% |
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Output: text | Low overlap | 128.0K | Partial I/O overlap Overall 20% |
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Output: unknown | Low overlap | 4.1K | Same provider Overall 17% |
| pplx-70b-chat perplexity | In $0.7000 / 1M tokens Out $2.8000 / 1M tokens |
Output: unknown | Low overlap | 4.1K | Same provider Overall 17% |
| 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 11% |
| 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 8% |
| 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 8% |
| 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 8% |
| 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 1% |
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