MModelspectraIndependent AI Model Intelligence
Head-to-head · Updated 2026-09-08
Model Comparison · Head to Head

Claude Opus 4.8 vs Claude Sonnet 5

Claude Opus 4.8 wins on Overall, Coding, Multimodal. Every numeric field is compared below, with a worked monthly-cost example and a pick rule for each use case.

VendorAnthropic / Anthropic
Data fields15+ dimensions
Updated2026-09-08
Read~9 min
01

Verdict at a glance

Bottom line: Choose Claude Opus 4.8 when coding depth, long-context reliability matter most; choose Claude Sonnet 5 when lower cost, lower latency is the priority.

Choose Claude Opus 4.8 if you…

  • Previous flagship still capable
  • Well-proven stability
  • Best for: Deep reasoning, Long documents, Coding

Choose Claude Sonnet 5 if you…

  • Fast
  • Moderately priced
  • Anthropic quality
  • Value flagship
  • Best for: Daily tasks, Fast responses, Coding
02

Head-to-head aggregate scores

Scores are 0–100, aggregated from public benchmark information and independently weighted across three leaderboards. Rank is out of 22 tracked models.

Claude Opus 4.8 Higher overall
Anthropic · #5 overall
Overall81
Coding87
Multimodal89
VS
Claude Sonnet 5
Anthropic · #12 overall
Overall71
Coding73
Multimodal76

Aggregated from public sources and independently weighted; methodology on the Terms page. Scores within 3 points are treated as statistically tied.

03

Specs & pricing — every field side by side

List API prices in USD per 1M tokens. The highlighted cell is the stronger value/capability on that row.

DimensionClaude Opus 4.8Claude Sonnet 5Verdict
VendorAnthropic (US)Anthropic (US)Same vendor
Released2026.052026.06Claude Sonnet 5 is newer
Overall (rank)81 · #571 · #12Claude Opus 4.8 +10
Coding87 · #473 · #10Claude Opus 4.8 +14
Multimodal89 · #676 · #14Claude Opus 4.8 +13
Context window1M1MTie
Max output128K128KTie
Effective-context9695Claude Opus 4.8 more reliable
Input $/1M$5$3Claude Sonnet 5 cheaper
Output $/1M$25$15Claude Sonnet 5 cheaper
Cache discount90% off90% offTie
Speed~40 tok/s~65 tok/sClaude Sonnet 5 faster
TTFT1.0s0.5sClaude Sonnet 5 snappier
Function calling8888Tie
Refusal rate~9%~8%Claude Sonnet 5 less restrictive
English9490Claude Opus 4.8
Chinese7878Tie
Modalitiestext, imagetext, imageSame
Open weightsNoNoBoth closed
Fine-tuningNoNo
Free tierNo free tierNo free tier
SOC2 / no-trainyes / yesyes / yes
Private deploymentNoNoNeither

Fields drawn from vendor public documentation and the Modelspectra 22-model dataset; speed varies with network, concurrency and prompt length. Verify current pricing before purchase.

04

Dimension-by-dimension analysis

Reasoning & overall intelligence

Claude Opus 4.8 leads the overall aggregate by 10 points (81 vs 71). That is a meaningful, not marginal, edge on hard, multi-step reasoning, while Claude Sonnet 5 remains a strong generalist that is not out of its depth on routine work.

Agentic coding

This is a clear gap: Claude Opus 4.8 scores 87 against 73. On multi-file edits, SWE-style tickets and long-horizon agent loops Claude Opus 4.8 needs fewer correction turns; Claude Sonnet 5 is still competent for scripts and assisted completion but trails as task complexity rises.

Multimodal

Claude Opus 4.8 leads multimodal 89 vs 76. Neither emits native video, so the comparison is about parsing images and documents, not generation.

Speed & latency

Claude Sonnet 5 is faster in interactive use: ~65 tok/s with 0.5s TTFT versus ~40 tok/s with 1.0s TTFT (about 1.6× the throughput). For conversational UIs where perceived responsiveness drives retention, that edge is a real product factor even when raw reasoning is lower.

Context: window vs usable recall

Nominal windows are 1M for Claude Opus 4.8 and 1M for Claude Sonnet 5. Effective-context scores point the same way as window size — Claude Opus 4.8 is ahead on usable recall (96 vs 95), so prefer it for long-document work where details cannot be missed.

Price & total cost

Claude Sonnet 5 is the cheaper API at $3/$15 versus Claude Opus 4.8 at $5/$25 per 1M input/output tokens — list input is about 1.7× lower. Cache discounts (Claude Opus 4.8 90% vs Claude Sonnet 5 90%) shift the effective bill, worked out below.

Chinese vs English

English: Claude Opus 4.8 94 vs Claude Sonnet 5 90. Chinese: 78 vs 78. Both are US-based models; for Chinese-first workloads also compare domestic models on the leaderboard.

Tool use & ecosystem

Function-calling score: Claude Opus 4.8 88 vs Claude Sonnet 5 88, so Claude Opus 4.8 has the edge on structured tool use. Neither offers standard fine-tuning. Factor in existing SDK/plugin familiarity — switching cost often outweighs a few-point tool-use gap.

05

Cost worked example — same workload, real token math

Assume a production workload of 100M input + 30M output tokens per month, with 90% of input tokens served from cache. Figures use public list prices.

Scenario · per monthClaude Opus 4.8Claude Sonnet 5Gap
List priceno cache applied$1,250100M in × $5  +  30M out × $25$750100M in × $3  +  30M out × $151.67×gap
With caching90% of inputs cache-hit$84590M cached in × $0.5  +  10M in × $5  +  30M out × $25$50790M cached in × $0.3  +  10M in × $3  +  30M out × $151.67×gap

Illustrative model; your input/output mix and cache-hit ratio change the result. Prices are list rates before any enterprise agreement.

06

Decision tree

IF the workload is agentic or multi-file coding and a wrong first pass is expensive  →  choose Claude Opus 4.8 (coding 87 vs 73).
IF you serve real-time users and latency is a product KPI  →  choose Claude Sonnet 5 (~65 tok/s, 0.5s TTFT).
IF you are cost-driven at scale on routine, high-volume workloads  →  choose Claude Sonnet 5 ($$3/$$15 per 1M in/out).
IF long-document recall has to be near-perfect  →  choose Claude Opus 4.8 (effective context 96 vs 95).
07

Frequently asked questions

Which is better for agentic coding?
Claude Opus 4.8 is decisively stronger for coding (87 vs 73 on the aggregate). The gap shows on SWE-style multi-file tasks and long agent loops that need fewer correction turns; Claude Sonnet 5 is fine for routine scripts.
How do costs compare at 100M tokens/month with caching?
At 100M input + 30M output with 90% of inputs cache-hit, Claude Opus 4.8 is about $845/month and Claude Sonnet 5 about $507/month after cache discounts ($1,250 and $750 at list).
Does the bigger context window actually matter?
Nominal windows are Claude Opus 4.8 (1M) and Claude Sonnet 5 (1M), but usable recall follows the effective-context score (96 vs 95). Prefer the higher effective-context model for long-document work where nothing can be missed.
Is Claude Opus 4.8 worth choosing over Claude Sonnet 5 within Anthropic?
Both come from Anthropic. Claude Opus 4.8 is the vendor's higher tier (81 vs 71 overall) and is the pick when you want this lab's strongest model; Claude Sonnet 5 costs less and remains the sensible choice where its score already clears the bar.
Which handles multimodal inputs better?
Multimodal scores are 89 (Claude Opus 4.8) vs 76 (Claude Sonnet 5), with modality coverage text/image versus text/image. Match the model to the input types your product actually receives.
What is the single-line recommendation?
Choose Claude Opus 4.8 for Deep reasoning, Long documents; choose Claude Sonnet 5 for Daily tasks, Fast responses.