AI Flash Report

Claude Sonnet 4.6 vs DeepSeek V3.2: Benchmarks, Pricing & Capabilities Compared

TL;DR — Claude Sonnet 4.6 wins for reasoning · DeepSeek V3.2 wins for cost + long-context.

Claude Sonnet 4.6 Anthropic
Released
2026-02-17
Context window
500K tokens
Input price
$3.00 / Mtok
Output price
$15.00 / Mtok
Key features
  • Agent Teams: orchestrate 2-16 Claude instances
  • Near-Opus performance at 1/5th cost
  • 80.8% SWE-bench Verified
DeepSeek V3.2 DeepSeek
Released
2026-02-12
Context window
1M tokens
Input price
$0.27 / Mtok
Output price
$1.10 / Mtok
Key features
  • 1M+ token context window (10x expansion)
  • Improved reasoning capabilities
  • Open source release

Benchmark comparison

Benchmark Claude Sonnet 4.6 DeepSeek V3.2
HumanEval 95.2% 92.5%
MMLU 92.1% 90.1%

Pricing comparison

Metric Claude Sonnet 4.6 DeepSeek V3.2
Input ($/Mtok) $3.00 $0.27
Output ($/Mtok) $15.00 $1.10
Cached input ($/Mtok) $0.30 $0.07
Cost per 1M-token roundtrip (1M in + 1M out) $18.00 $1.37

Context window & modalities

Attribute Claude Sonnet 4.6 DeepSeek V3.2
Context window 500K tokens 1M tokens
Input modalities text, image, PDF text
Output modalities text text
Knowledge cutoff 2025-10 2025-09

Verdict by use case

Coding
→ Claude Sonnet 4.6
Basis: HumanEval

Claude Sonnet 4.6 95.2% vs DeepSeek V3.2 92.5% on HumanEval.

Reasoning
→ Claude Sonnet 4.6
Basis: GPQA Diamond

Claude Sonnet 4.6 78.4% vs DeepSeek V3.2 68.4% on GPQA Diamond.

Math
Insufficient data
Basis: MATH / AIME

No shared math benchmark.

Long context
→ DeepSeek V3.2
Basis: Context window

Claude Sonnet 4.6 500K tokens vs DeepSeek V3.2 1M tokens.

Cost
→ DeepSeek V3.2
Basis: Input $/Mtok

Claude Sonnet 4.6 $3/Mtok vs DeepSeek V3.2 $0.27/Mtok input.

Changelog & releases

Claude Sonnet 4.6
Released 2026-02-17
  • Agent Teams: orchestrate 2–16 Claude instances in parallel
  • +8.5pt on SWE-bench Verified vs Sonnet 4
  • 1/5 the cost of Opus 4.5 at ~95% of coding quality
  • Fast mode research preview for lower-latency inference
DeepSeek V3.2
Released 2026-02-12
Predecessor: deepseek-deepseek-v3
  • 10x context window expansion (128K → 1M+ tokens)
  • Sliding-window attention for long-context throughput
  • Improved chain-of-thought reasoning
  • Native FP8 inference support

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