Claude Opus 4.8 logoClaude Opus 4.8
vs
Mistral Small 4 logoMistral Small 4

Claude Opus 4.8 vs Mistral Small 4: Which is Better in 2026?

A comprehensive comparison of Claude Opus 4.8 and Mistral Small 4 covering features, pricing, use cases, and which tool is the right choice for your needs.

⚡ Quick Verdict

Choose Claude Opus 4.8 if:

  • You want more affordable paid plans (from $5/mo)
  • You need 84% on online-mind2web (computer use / browser agent benchmark) or 4× less likely than opus 4.7 to report unsubstantiated progress on code

Choose Mistral Small 4 if:

  • You want a free tier to get started without commitment
  • You need a broader feature set (10 features vs 8)
  • You need 119b total parameters, 6b active per token (moe: 128 experts, 4 active) or 256k token context window

Claude Opus 4.8 vs Mistral Small 4: At a Glance

Attribute
Claude Opus 4.8
Mistral Small 4
Pricing Model
Paid
Freemium
Starting Price
Starting at $5/month
Open weights under Apache 2.0 license — free to download, self-host, fine-tune, and use commercially. Available via Mistral API (Mistral Small tier pricing) and Le Chat (free + Pro plans).
Free Tier
✗ No
✓ Yes
Category
llm-apis
llm-apis
Features Count
8 features
10 features
Shared Features
0 features in common

Pricing Comparison: Claude Opus 4.8 vs Mistral Small 4

Understanding the pricing differences between Claude Opus 4.8 and Mistral Small 4 is crucial for making the right choice. Here's how their plans compare side by side.

Claude Opus 4.8 Pricing

Starter$5/month
Standard$25/month
Starter$10/month
Pro$50/month
View full Claude Opus 4.8 pricing →

Mistral Small 4 Pricing

Available via Mistral API (Mistral Small tier pricing) and Le Chat (free + Pro plans).See website
View full Mistral Small 4 pricing →

💡 Pricing takeaway: Mistral Small 4 has an edge with a free tier, letting you start without commitment. Compare the specific plans to find the best value for your use case.

Feature-by-Feature Comparison

Here's how every feature from Claude Opus 4.8 and Mistral Small 4 stacks up.

Feature
Claude Opus 4.8
Mistral Small 4
84% on Online-Mind2Web (computer use / browser agent benchmark)
4× less likely than Opus 4.7 to report unsubstantiated progress on code
Dynamic workflows: hundreds of parallel subagents in a single Claude Code session
Effort control: low / high / extra / max levels for quality-vs-speed tradeoff
System entries accepted mid-task via Messages API without breaking prompt cache
Legal Agent Benchmark: first model to break 10% on all-pass standard
200K token context window
Tool use, vision, and extended thinking
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

What Makes Each Tool Unique

🔵 Unique to Claude Opus 4.8

Features available in Claude Opus 4.8 but not in Mistral Small 4:

  • 84% on Online-Mind2Web (computer use / browser agent benchmark)
  • 4× less likely than Opus 4.7 to report unsubstantiated progress on code
  • Dynamic workflows: hundreds of parallel subagents in a single Claude Code session
  • Effort control: low / high / extra / max levels for quality-vs-speed tradeoff
  • System entries accepted mid-task via Messages API without breaking prompt cache
  • Legal Agent Benchmark: first model to break 10% on all-pass standard
  • 200K token context window
  • Tool use, vision, and extended thinking

🟣 Unique to Mistral Small 4

Features available in Mistral Small 4 but not in Claude Opus 4.8:

  • 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: Claude Opus 4.8

Anthropic's most capable model as of May 2026. Claude Opus 4.8 delivers improvements in coding (Terminal-Bench 2.1), agentic tasks, computer use (84% on Online-Mind2Web), and long-running professional workflows. Notable for 4× lower false-confidence rate vs Opus 4.7, new dynamic workflows support in Claude Code, and effort control for tuning quality vs. speed. Priced identically to Opus 4.7: $5/M input, $25/M output.

Ideal use cases:

  • Teams or individuals who need 84% on online-mind2web (computer use / browser agent benchmark)
  • Teams or individuals who need 4× less likely than opus 4.7 to report unsubstantiated progress on code
  • Teams or individuals who need dynamic workflows: hundreds of parallel subagents in a single claude code session
  • Teams or individuals who need effort control: low / high / extra / max levels for quality-vs-speed tradeoff
  • Anyone focused on anthropic workflows
  • Anyone focused on claude workflows
Try Claude Opus 4.8

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
Try Mistral Small 4

🔧 Other llm-apis Tools to Consider

Claude Opus 4.8 and Mistral Small 4 aren't the only options. Here are other popular tools in the same space:

Frequently Asked Questions

Is Claude Opus 4.8 better than Mistral Small 4?

It depends on your needs. Claude Opus 4.8 offers 8 key features including 84% on Online-Mind2Web (computer use / browser agent benchmark) and 4× less likely than Opus 4.7 to report unsubstantiated progress on code, 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. Claude Opus 4.8 uses a paid model, while Mistral Small 4 is freemium with free access available. Choose based on which features and pricing model align with your requirements.

Is Claude Opus 4.8 cheaper than Mistral Small 4?

Mistral Small 4 doesn't have standard paid plans, while Claude Opus 4.8 starts at $5/month. Mistral Small 4 offers a free tier, making it easier to get started. Always check the official websites for the most current pricing.

Can I use Claude Opus 4.8 and Mistral Small 4 together?

Yes, many users combine Claude Opus 4.8 and Mistral Small 4 in their workflow. Claude Opus 4.8 excels at 84% on online-mind2web (computer use / browser agent benchmark), 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 Claude Opus 4.8 and Mistral Small 4?

While both are llm-apis tools, Claude Opus 4.8 emphasizes 84% on online-mind2web (computer use / browser agent benchmark), 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.

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