Claude Opus 4.6
- MMLU
- 91.1%
- Output (from)
- $25.00 / 1M
Last refreshed 2026-10-17. Next refresh: weekly.
Enterprise-grade LLMs available on AWS Bedrock, Azure AI Foundry, and Vertex AI — with SLAs, function calling, and structured outputs.
Verdict
Claude Sonnet 4.6 is the runner-up, 2 points back on MMLU.
Enterprise picks use the §6.4 enterpriseReady truth table: enterprise provider coverage (AWS Bedrock, Azure OpenAI/Foundry, GCP Vertex, Anthropic API, OpenAI API, Google AI Studio), `commercialAvailability = ga`, plus function calling and structured outputs.
| # | Model | Input $/1M | Output $/1M | |
|---|---|---|---|---|
| 1 | GPT-5.5 ReasoningVisionTools MMLU: 92.4% | $5.00 | $30.00 | |
| 2 | Claude Opus 4.6 ReasoningVisionTools MMLU: 91.1% | $5.00 | $25.00 | |
| 3 | Claude Sonnet 4.6 ReasoningVisionTools MMLU: 89.3% | $3.00 | $15.00 | |
| 4 | DeepSeek V3 Tools MMLU: 88.5% | $0.10 | $0.30 | |
| 5 | Qwen3-Coder-Next ReasoningTools MMLU: 87.73% | $0.12 | $0.80 | |
| 6 | Mistral Large 2 VisionTools MMLU: 84% | $0.48 | $2.40 | |
| 7 | GPT-5.5 Pro ReasoningVisionTools MMLU: — | $30.00 | $180.00 | |
| 8 | GPT-5.4 ReasoningVisionTools MMLU: — | $2.50 | $15.00 | |
| 9 | GPT-5.4 Pro ReasoningVisionTools MMLU: — | $30.00 | $180.00 | |
| 10 | Gemini 3.1 Flash-Lite VisionTools MMLU: — | $0.25 | $1.50 | |
| 11 | GPT-4.1 VisionTools MMLU: — | $2.00 | $8.00 | |
| 12 | GPT-4.1 Mini VisionTools MMLU: — | $0.40 | $1.60 | |
| 13 | Grok 4.3 ReasoningVisionTools MMLU: — | $1.25 | $2.50 | |
| 14 | Claude Opus 4.7 ReasoningVisionTools MMLU: — | $5.00 | $25.00 | |
| 15 | Gemini 2.5 Flash Lite VisionTools MMLU: — | $0.10 | $0.40 | |
| 16 | Gemini 2.5 Flash VisionTools MMLU: — | $0.30 | $2.50 | |
| 17 | Gemini 2.5 Pro ReasoningVisionTools MMLU: — | $1.25 | $10.00 | |
| 18 | GPT-5.5 Instant VisionTools MMLU: — | $5.00 | $30.00 | |
| 19 | GPT-5.4 Mini ReasoningVisionTools MMLU: — | $0.75 | $4.50 | |
| 20 | GPT-5.4 Nano VisionTools MMLU: — | $0.20 | $1.25 |
Qwen3-Coder-Next is an ultra-sparse Mixture-of-Experts coding agent model from Alibaba's Qwen team, released February 3, 2026 under Apache 2.0. It has 80B total parameters with 3B active at inference, delivering substantially higher throughput than comparable dense models. It supports a native 256K context window, function calling, structured outputs, Claude Code, Qwen Code, Cline, Kilo, and other scaffold templates. Reported benchmarks include SWE-Bench Pro 44.3%, SWE-Bench Resolved 70.6%, and TerminalBench 2 36.2%.
87.73%
MMLU
Advanced reasoning and coding model, multilingual with native function calling and JSON output
84%
MMLU
GPT-5.5 Pro is OpenAI's premium extra-compute deployment of GPT-5.5, released April 23, 2026. It uses the same underlying weights as GPT-5.5 standard with additional parallel test-time compute for harder tasks. Supports text and image inputs, reasoning effort control, tool use, structured outputs, code execution, a 1,050,000-token context window, and 128K max output. Reported benchmark scores: Terminal-Bench 2.1 78.2%, SWE-bench Pro 58.6%, GPQA Diamond 93.6%, ARC-AGI-2 high effort 83.3%, BrowseComp Pro compute 90.1%, and FrontierMath Tier 4 39.6%. Official pricing is $30/M input, $180/M output, $10/M batch input, and $45/M batch output; native cached input discount is not listed.
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MMLU