LLM Pricing
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mistral-7b-v0.3

llamagate · chat model

mistral-7b-v0.3 is listed here as a chat model from llamagate. 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
$0.1500 / 1M tokens
Cached input
N/A
Context
8.2K
Compare similar models Open a side-by-side table using this route and the closest match from the current catalog. Estimate workload cost Use token counts, request volume, and cache assumptions to check a realistic monthly bill. Explore benchmark family Review source-backed benchmark rows for the attached base model family. Check data sources See how pricing data is generated and what still needs provider verification.

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
$0.1500 / 1M tokens
Embedding
$0.1000 / 1M tokens

Token limits

Context window
8.2K
Max input tokens
32.8K
Max output tokens
8.2K
Max tokens
8.2K

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.

Comparing from
Model Cost Input shape Features Context Why it is close
mistral-7b-v0.3
llamagate
In $0.1000 / 1M tokens
Out $0.1500 / 1M tokens
Output: unknown
Function callingResponse schema
8.2K
Current model
Reference row

Overall blends cost, modality overlap, capabilities, and context.

Model Cost Input shape Features Context Why it is close
dolphin3-8b
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In $0.0800 / 1M tokens
Out $0.1500 / 1M tokens
Output: unknown
Function callingResponse schema
8.2K
Same provider
Overall 58%
llama-3.2-3b
vercel_ai_gateway
In $0.1500 / 1M tokens
Out $0.1500 / 1M tokens
text
Output: text
Function callingResponse schema
8.2K
Partial I/O overlap
Overall 57%
qwen2.5-coder-7b
llamagate
In $0.0600 / 1M tokens
Out $0.1200 / 1M tokens
Output: unknown
Function callingResponse schema
8.2K
Same provider
Overall 54%
qwen3-8b
llamagate
In $0.0400 / 1M tokens
Out $0.1400 / 1M tokens
Output: unknown
Function callingResponse schema
8.2K
Same provider
Overall 54%
nova-micro
vercel_ai_gateway
In $0.0350 / 1M tokens
Out $0.1400 / 1M tokens
text
Output: text
Function callingResponse schema
8.2K
Partial I/O overlap
Overall 53%
openthinker-7b
llamagate
In $0.0800 / 1M tokens
Out $0.1500 / 1M tokens
Output: unknown
Function callingResponse schema
8.2K
Same provider
Overall 50%
llama-3.2-3b
llamagate
In $0.0400 / 1M tokens
Out $0.0800 / 1M tokens
Output: unknown
Function callingResponse schema
8.2K
Same provider
Overall 49%
deepseek-coder-6.7b
llamagate
In $0.0600 / 1M tokens
Out $0.1200 / 1M tokens
Output: unknown
Function callingResponse schema
4.1K
Same provider
Overall 47%
codellama-7b
llamagate
In $0.0600 / 1M tokens
Out $0.1200 / 1M tokens
Output: unknown
Function callingResponse schema
4.1K
Same provider
Overall 47%
llama-3.1-8b
llamagate
In $0.0300 / 1M tokens
Out $0.0500 / 1M tokens
Output: unknown
Function callingResponse schema
8.2K
Same provider
Overall 46%
deepseek-r1-7b-qwen
llamagate
In $0.0800 / 1M tokens
Out $0.1500 / 1M tokens
Output: unknown
Function callingResponse schema
16.4K
Same provider
Overall 42%
llama-3.1-8b
vercel_ai_gateway
In $0.0500 / 1M tokens
Out $0.0800 / 1M tokens
text
Output: text
Function callingResponse schema
131.1K
Partial I/O overlap
Overall 36%
phi-4
deepinfra
In $0.0700 / 1M tokens
Out $0.1400 / 1M tokens
text
Output: text
Function calling
16.4K
Partial I/O overlap
Overall 32%
gemma-3-27b-it
deepinfra
In $0.0900 / 1M tokens
Out $0.1600 / 1M tokens
imagetext
Output: text
Function calling
131.1K
Partial I/O overlap
Overall 28%
Meta-Llama-3.2-3B-Instruct
sambanova
In $0.0800 / 1M tokens
Out $0.1600 / 1M tokens
Output: unknown
Low overlap
4.1K
Partial I/O overlap
Overall 25%