Compute Prices vs Mistral Small 4: Which is Better in 2026?
A comprehensive comparison of Compute Prices and Mistral Small 4 covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose Compute Prices if:
- →You need 80 providers and 392 models tracked, refreshed daily with hourly updates or 67 gpu providers across 74 gpu models plus 26 llm inference providers across 318 models
Choose Mistral Small 4 if:
- →You need a broader feature set (10 features vs 5)
- →You need 119b total parameters, 6b active per token (moe: 128 experts, 4 active) or 256k token context window
Compute Prices and Mistral Small 4 get named on this page. Does your tool?
Comparisons like this one are what ChatGPT, Claude and Perplexity read when someone asks which of the llm apis & models to recommend — and they can only weigh up tools they can find. Add yours to the llm apis & models category: a free listing publishes after review. Want it live in minutes with a Verified badge instead? That option is on the form, one-time, no subscription.
Compute Prices vs Mistral Small 4: At a Glance
Pricing Comparison: Compute Prices vs Mistral Small 4
Understanding the pricing differences between Compute Prices and Mistral Small 4 is crucial for making the right choice. Here's how their plans compare side by side.
Compute Prices Pricing
Mistral Small 4 Pricing
💡 Pricing takeaway: Both Compute Prices and Mistral Small 4 offer free tiers, making it easy to try before you buy. Compare the specific plans to find the best value for your use case.
Feature-by-Feature Comparison
Here's how every feature from Compute Prices and Mistral Small 4 stacks up.
What Makes Each Tool Unique
🔵 Unique to Compute Prices
Features available in Compute Prices but not in Mistral Small 4:
- ✓80 providers and 392 models tracked, refreshed daily with hourly updates
- ✓67 GPU providers across 74 GPU models plus 26 LLM inference providers across 318 models
- ✓Free JSON API with one stable response shape, built for agent tool calls
- ✓Weekly biggest-drop and best-value-right-now views computed from the index
- ✓7-day trend history free, extended to 90 days on Pro
🟣 Unique to Mistral Small 4
Features available in Mistral Small 4 but not in Compute Prices:
- ✓119B total parameters, 6B active per token (MoE: 128 experts, 4 active)
- ✓256k token context window
- ✓Unified reasoning, vision, and coding in a single model
- ✓Configurable reasoning effort: reasoning_effort='none' (fast) or 'high' (deep)
- ✓Native image input support (text + vision in one model)
- ✓Apache 2.0 license — permissive commercial use, no additional restrictions
- ✓40% reduction in end-to-end latency vs Mistral Small 3
- ✓3× higher throughput vs Mistral Small 3 (throughput-optimized setup)
- ✓Beats GPT-OSS 120B on AA LCR and LiveCodeBench with shorter outputs
- ✓Runs on vLLM, llama.cpp, SGLang, and Transformers
Use Case Recommendations
Best for: Compute Prices
Compute Prices is a price index for AI infrastructure, tracking what GPUs and LLM inference actually cost across the market and publishing the answer as both a browsable site and a JSON API. The scope is the useful part: roughly eighty providers and several hundred thousand price points refreshed daily, covering sixty-seven GPU providers across seventy-four GPU models, and twenty-six LLM inference providers across more than three hundred models — Lambda, Modal, Runpod, Vast.ai, Together AI, Nebius, Paperspace, Salad, Scaleway, Vultr, OpenRouter, Deep Infra, Fireworks and the hyperscalers among them. For anyone sizing a training run or picking an inference vendor, the alternative is scraping a few dozen pricing pages with a few dozen different layouts, which is exactly the work this removes. Beyond the raw table it computes the derived views people actually want: biggest price drops this week, lowest current price in each category, and per-tier week-over-week movers with daily trend history. The API is positioned explicitly for AI agents — one stable response shape across every provider, so a cost-aware agent can query current GPU or token pricing as a tool call rather than parsing HTML. A free key takes about thirty seconds and allows 750 requests a day with weekly movers and seven-day trends; a Pro tier extends history to ninety days. The site is candid that prices are collected automatically from public sources and provider APIs and should be confirmed with the provider before purchase.
Ideal use cases:
- •Teams or individuals who need 80 providers and 392 models tracked, refreshed daily with hourly updates
- •Teams or individuals who need 67 gpu providers across 74 gpu models plus 26 llm inference providers across 318 models
- •Teams or individuals who need free json api with one stable response shape, built for agent tool calls
- •Teams or individuals who need weekly biggest-drop and best-value-right-now views computed from the index
- •Anyone focused on gpu-pricing workflows
- •Anyone focused on llm-pricing workflows
Best for: Mistral Small 4
Mistral's first unified open-source model, released March 16, 2026. A 119B MoE model (6B active parameters per token) that merges reasoning (Magistral), multimodal vision (Pixtral), and agentic coding (Devstral) into a single Apache 2.0 model. 256k context window. 40% faster and 3× higher throughput than Mistral Small 3. Beats GPT-OSS 120B on coding and reasoning benchmarks while generating shorter outputs.
Ideal use cases:
- •Teams or individuals who need 119b total parameters, 6b active per token (moe: 128 experts, 4 active)
- •Teams or individuals who need 256k token context window
- •Teams or individuals who need unified reasoning, vision, and coding in a single model
- •Teams or individuals who need configurable reasoning effort: reasoning_effort='none' (fast) or 'high' (deep)
- •Anyone focused on mistral workflows
- •Anyone focused on llm workflows
🧩 Other LLM APIs & Models Tools to Consider
Compute Prices and Mistral Small 4 aren't the only options. Here are other popular tools in the same space:
Claude Opus 4.8
Anthropic's flagship model — stronger coding, agents, and honesty
Mistral Small 3.1
Mistral's 24B multimodal open-source model — beats GPT-4o Mini, Apache 2.0
Mistral Small 3
Mistral's 24B latency-optimized open model — faster than Llama 3.3 70B, Apache 2.0
Mistral Medium 3.5
Mistral's 128B merged flagship — open weights, coding+reasoning+instructions
Mistral 3
Mistral's MoE flagship + edge model family — Apache 2.0, multimodal, reasoning
North Mini Code
Cohere's open-source agentic coding model — 30B MoE, 3B active, Apache 2.0
Is one of these your tool?
This page ranks for "Compute Prices vs Mistral Small 4" — buyers comparing the two land here, and ChatGPT and Perplexity cite it. Claim your listing for $19 one-time — no subscription, nothing to cancel — and get a Featured badge, top placement in your category, and a permanent dofollow backlink. Prefer it ongoing? Monthly is one click away on the next page.
Frequently Asked Questions
Is Compute Prices better than Mistral Small 4?
It depends on your needs. Compute Prices offers 5 key features including 80 providers and 392 models tracked, refreshed daily with hourly updates and 67 GPU providers across 74 GPU models plus 26 LLM inference providers across 318 models, while Mistral Small 4 provides 10 features including 119B total parameters, 6B active per token (MoE: 128 experts, 4 active) and 256k token context window. Compute Prices uses a freemium model with a free tier, while Mistral Small 4 is freemium with free access available. Choose based on which features and pricing model align with your requirements.
Is Compute Prices cheaper than Mistral Small 4?
Both tools have similar pricing structures. Both tools offer free tiers, so you can try each before committing. Always check the official websites for the most current pricing.
Can I use Compute Prices and Mistral Small 4 together?
Yes, many users combine Compute Prices and Mistral Small 4 in their workflow. Compute Prices excels at 80 providers and 392 models tracked, refreshed daily with hourly updates, while Mistral Small 4 shines with 119b total parameters, 6b active per token (moe: 128 experts, 4 active). Using both allows you to leverage the strengths of each tool, though this means managing two subscriptions — though free tiers can help manage costs.
What's the main difference between Compute Prices and Mistral Small 4?
While both are llm apis & models tools, Compute Prices emphasizes 80 providers and 392 models tracked, refreshed daily with hourly updates, whereas Mistral Small 4 is known for 119b total parameters, 6b active per token (moe: 128 experts, 4 active). The best choice depends on your specific workflow and feature priorities.
Learn More
📬 Get the best new AI tools delivered weekly
One concise email with fresh launches, trending picks, and featured standouts.