AI Models · Compare

Claude 4 Sonnet vs Claude 3.5 Sonnet

Which AI model is better in 2026? Compare Claude 4 Sonnet and Claude 3.5 Sonnet on benchmarks, pricing, speed, context window, and real-world fit.

Quick summary

Claude 4 Sonnet is currently the stronger overall pick for reasoning, coding, math, context, and speed. Claude 3.5 Sonnet stays competitive on several rows. Claude 3.5 Sonnet remains the budget pick at $6.00 vs $6.00 blended / 1M tokens.

Overall winner

Claude 4 Sonnet

View Claude 4 Sonnet review

Claude 4 Sonnet wins

  • Reasoning
  • Coding
  • Math
  • Context
  • Speed

Claude 3.5 Sonnet wins

No clear category wins in our scorecard.

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Anthropic

Claude 4 Sonnet

ProprietaryFeb 2026

The Anthropic sweet spot — Opus-class coding at a fraction of the price.

Open docs
Anthropic

Claude 3.5 Sonnet

ProprietaryOct 2024

The model that made coding agents viable — still a top pick.

Open docs

Claude 4 Sonnet vs Claude 3.5 Sonnet: overview

Claude 4 Sonnet (Anthropic) and Claude 3.5 Sonnet (Anthropic) are frequently compared by teams choosing an AI stack in 2026. Claude 4 Sonnet: The Anthropic sweet spot — Opus-class coding at a fraction of the price. Claude 3.5 Sonnet: The model that made coding agents viable — still a top pick. This Claude 4 Sonnet vs Claude 3.5 Sonnet comparison covers benchmarks, pricing, context window, speed, modalities, strengths, weaknesses, and who should pick which model.

Claude 4 Sonnet is proprietary with a 500k-token context window and a blended API price near $6.00 / 1M tokens (intelligence index 75/100). Claude 3.5 Sonnet is proprietary with 200k context at about $6.00 blended / 1M (intelligence 71/100). Those gaps drive most “Claude 4 Sonnet vs Claude 3.5 Sonnet” searches — quality versus cost, closed versus open, cloud versus self-host.

Where they differ most: Claude 4 Sonnet tends to lead on reasoning, coding, math, context, and speed. Choose Claude 4 Sonnet when you want the stronger overall profile on our scorecard; validate with your own evals before migrating production traffic.

Claude 4 Sonnet is often shortlisted for production coding tools, long-context rag, and tool use. Claude 3.5 Sonnet fits coding tasks, long-form writing, and agentic workflows. Scroll to pricing, real-world tasks, and the who-should-choose section for decision support.

People search “Claude 4 Sonnet vs Claude 3.5 Sonnet”, “which is better”, and “Claude 4 Sonnet vs Claude 3.5 Sonnet pricing” for the same reason: switching models is expensive if quality drops, and staying put is expensive if you overpay. Use the winner card for a fast answer, the head-to-head table for receipts, and the editorial verdict for a human recommendation. Claude 4 Sonnet currently ranks among competitive options from Anthropic; Claude 3.5 Sonnet is a hosted alternative from Anthropic. If API pricing is your main concern, start with the pricing section; for multimodal workloads, check vision/audio rows in technical differences; for agents and long documents, prioritize context and reasoning wins.

Head to head

Spec
Claude 4 Sonnet
Claude 3.5 Sonnet
Winner
Reason
Intelligence index↑ better
Winner75
71
Claude 4 Sonnet
Claude 4 Sonnet leads on the composite intelligence index (75 vs 71).
Speed↑ better
Winner95 tok/s
85 tok/s
Claude 4 Sonnet
Claude 4 Sonnet generates tokens faster (95 vs 85 tok/s).
Time to first token↓ better
Winner0.85 s
0.9 s
Claude 4 Sonnet
Claude 4 Sonnet starts streaming sooner (0.85s vs 0.9s TTFT).
Context window↑ better
Winner500k
200k
Claude 4 Sonnet
Claude 4 Sonnet wins with 500k tokens — about 2.5× Claude 3.5 Sonnet.
Max output↑ better
Winner16k
8k
Claude 4 Sonnet
Claude 4 Sonnet wins this row (16000 vs 8192).
Input price↓ better
$3.00 / 1M tokens
$3.00 / 1M tokens
Tie
Even — no meaningful gap in our catalog.
Output price↓ better
$15.00 / 1M tokens
$15.00 / 1M tokens
Tie
Even — no meaningful gap in our catalog.
Blended price↓ better
$6.00 / 1M tokens
$6.00 / 1M tokens
Tie
Even — no meaningful gap in our catalog.
License
Proprietary
Proprietary
Qualitative / categorical row
Input modalities
text, image
text, image
Qualitative / categorical row
Output modalities
text
text
Qualitative / categorical row

Pricing comparison

API cost is often the deciding factor in Claude 4 Sonnet vs Claude 3.5 Sonnet for high-volume apps. Figures below use catalog list prices with a 3:1 input:output blend for monthly estimates. Cached input, batch, and realtime surcharges vary by provider — confirm on official docs.

API costClaude 4 SonnetClaude 3.5 Sonnet
Input / 1M tokens$3.00$3.00
Output / 1M tokens$15.00$15.00
Blended (3:1) / 1M$6.00$6.00
Est. cost @ 1M blended tokens$6.00$6.00
Est. cost @ 10M blended tokens$60.00$60.00
Est. cost @ 100M blended tokens$600.00$600.00

Cached input, batch API, and realtime surcharges are provider-specific and not always published in our catalog — verify on official pricing pages.

Benchmark showdown

MMLU
Claude 4 Sonnet
88.5
Claude 3.5 Sonnet
88.3
MMLU Pro
Claude 4 Sonnet
75.2
Claude 3.5 Sonnet
74.0
GPQA
Claude 4 Sonnet
58.0
Claude 3.5 Sonnet
59.4
MATH
Claude 4 Sonnet
82.0
Claude 3.5 Sonnet
78.3
HumanEval
Claude 4 Sonnet
93.2
Claude 3.5 Sonnet
92.0

Claude 4 Sonnet leads on MMLU, MMLU Pro, MATH, and HumanEval, indicating stronger coding and reasoning-oriented scores. Claude 3.5 Sonnet leads on GPQA. Claude 3.5 Sonnet remains attractive for production deployments on price. Raw benchmarks shortlist models — run task-specific evals before you switch.

Real-world performance

Beyond academic scores, here is how Claude 4 Sonnet vs Claude 3.5 Sonnet tends to split common product tasks based on catalog strengths, price, and modalities.

TaskWinner
CodingClaude 4 Sonnet
Blog writingClaude 4 Sonnet
ResearchClaude 4 Sonnet
Customer supportClaude 4 Sonnet
Cheap API / high volumeClaude 4 Sonnet
AI agentsClaude 4 Sonnet
SummarizationClaude 4 Sonnet
TranslationClaude 4 Sonnet
Vision / multimodalClaude 4 Sonnet
Self-hosting / open weightsClaude 4 Sonnet

Technical differences

FeatureClaude 4 SonnetClaude 3.5 Sonnet
ProviderAnthropicAnthropic
LicenseProprietaryProprietary
Pricing modeltokenstokens
Context window500k tokens200k tokens
Max output16k tokens8k tokens
Vision inputYesYes
Audio inputNoNo
Text outputYesYes
Image outputNoNo
Video outputNoNo
Audio outputNoNo
Self-host friendlyNoNo
DocsAvailableAvailable

Strengths, weaknesses and best-for

Claude 4 Sonnet
Strengths
  • Best $/HumanEval ratio
  • Fast
  • 500k context
Weaknesses
  • Behind Opus on hardest reasoning
Best for
  • Production coding tools
  • Long-context RAG
  • Tool use
Claude 3.5 Sonnet
Strengths
  • Excellent at code
  • Strong writing
  • Long context
Weaknesses
  • Superseded by Claude 4 Sonnet for new builds
Best for
  • Coding tasks
  • Long-form writing
  • Agentic workflows

Who should choose which

Choose Claude 4 Sonnet if

  • You need stronger reasoning, coding, or math quality
  • You need a larger context window
  • You care about faster token throughput
  • Production coding tools
  • Long-context RAG

Choose Claude 3.5 Sonnet if

  • Coding tasks
  • Long-form writing

Pros & cons

Claude 4 Sonnet

Pros

  • Best $/HumanEval ratio
  • Fast
  • 500k context

Cons

  • Behind Opus on hardest reasoning

Claude 3.5 Sonnet

Pros

  • Excellent at code
  • Strong writing
  • Long context

Cons

  • Superseded by Claude 4 Sonnet for new builds

Editorial verdict

Claude 4 Sonnet edges this matchup — with caveats

Claude 4 Sonnet is the better choice when you prioritize reasoning, coding, math, context, and speed. Claude 3.5 Sonnet stands out for specific workloads, making it a strong option when those dimensions matter more than raw leaderboard rank. If maximum measured performance matters, Claude 4 Sonnet wins this matchup. If your niche constraints matter more, Claude 3.5 Sonnet is difficult to beat. Always confirm with a bake-off on your real prompts before cutting over.

Still deciding? Read the full Claude 4 Sonnet review and Claude 3.5 Sonnet review, or open the full AI models table.

Claude 4 Sonnet vs Claude 3.5 Sonnet — frequently asked questions

On our scorecard, Claude 4 Sonnet wins overall (leads on Reasoning, Coding, Math, Context, and Speed). The “better” model still depends on your workload — validate with your own evals.

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