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

Claude Opus 5 vs Muse Spark 1.3

Claude Opus 5 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 / Meta
Data fields15+ dimensions
Updated2026-09-08
Read~9 min
01

Verdict at a glance

Bottom line: Choose Claude Opus 5 when coding depth, long-context reliability matter most; choose Muse Spark 1.3 when lower cost, lower latency, fine-tuning/ecosystem is the priority.

Choose Claude Opus 5 if you…

  • Dependable and stable
  • Strong reasoning depth
  • Strong long-document handling
  • Best for: Deep reasoning, Long documents, Coding

Choose Muse Spark 1.3 if you…

  • #1 DeepSWE long-horizon coding
  • Open weights, self-hostable
  • Extremely low cost
  • Fast
  • Best for: Coding, Open-source deployment, Budget
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 26 tracked models.

Claude Opus 5 Higher overall
Anthropic · #4 overall
Overall87
Coding97
Multimodal91
VS
Muse Spark 1.3
Meta · #22 overall
Overall64
Coding88
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 5Muse Spark 1.3Verdict
VendorAnthropic (US)Meta (US)Different vendors
Released2026.072026.09Muse Spark 1.3 is newer
Overall (rank)87 · #464 · #22Claude Opus 5 +23
Coding97 · #388 · #5Claude Opus 5 +9
Multimodal91 · #676 · #17Claude Opus 5 +15
Context window1M256KClaude Opus 5 larger
Max output128K64KMuse Spark 1.3 longer
Effective-context9785Claude Opus 5 more reliable
Input $/1M$5$1.25Muse Spark 1.3 cheaper
Output $/1M$25$4.25Muse Spark 1.3 cheaper
Cache discount90% offnoneClaude Opus 5 deeper
Speed~45 tok/s~70 tok/sMuse Spark 1.3 faster
TTFT0.9s0.4sMuse Spark 1.3 snappier
Function calling9072Claude Opus 5 ahead
Refusal rate~7%~4%Muse Spark 1.3 less restrictive
English9684Claude Opus 5
Chinese8062Claude Opus 5
Modalitiestext, imagetext, imageSame
Open weightsNoYesMuse Spark 1.3 is open
Fine-tuningNoYes
Free tierNo free tierOpen weights free to self-host; hosted API at $1.25/$4.25 per 1M
SOC2 / no-trainyes / yesno / yes
Private deploymentNoYesMuse Spark 1.3

Fields drawn from vendor public documentation and the Modelspectra 26-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 5 leads the overall aggregate by 23 points (87 vs 64). That is a meaningful, not marginal, edge on hard, multi-step reasoning, while Muse Spark 1.3 remains a strong generalist that is not out of its depth on routine work.

Agentic coding

This is a modest gap: Claude Opus 5 scores 97 against 88. On multi-file edits, SWE-style tickets and long-horizon agent loops Claude Opus 5 needs fewer correction turns; Muse Spark 1.3 is still competent for scripts and assisted completion but trails as task complexity rises.

Multimodal

Claude Opus 5 leads multimodal 91 vs 76. Neither emits native video, so the comparison is about parsing images and documents, not generation.

Speed & latency

Muse Spark 1.3 is faster in interactive use: ~70 tok/s with 0.4s TTFT versus ~45 tok/s with 0.9s 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 5 and 256K for Muse Spark 1.3. Effective-context scores point the same way as window size — Claude Opus 5 is ahead on usable recall (97 vs 85), so prefer it for long-document work where details cannot be missed.

Price & total cost

Muse Spark 1.3 is the cheaper API at $1.25/$4.25 versus Claude Opus 5 at $5/$25 per 1M input/output tokens — list input is about 4.0× lower. Cache discounts (Claude Opus 5 90%) shift the effective bill, worked out below.

Chinese vs English

English: Claude Opus 5 96 vs Muse Spark 1.3 84. Chinese: 80 vs 62. Both are US-based models; for Chinese-first workloads also compare domestic models on the leaderboard.

Tool use & ecosystem

Function-calling score: Claude Opus 5 90 vs Muse Spark 1.3 72, so Claude Opus 5 has the edge on structured tool use. Fine-tuning is available from Muse Spark 1.3. 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 5Muse Spark 1.3Gap
List priceno cache applied$1,250100M in × $5  +  30M out × $25$252100M in × $1.25  +  30M out × $4.254.96×gap
With caching90% of inputs cache-hit$84590M cached in × $0.5  +  10M in × $5  +  30M out × $25$252no published cache discount3.35×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 5 (coding 97 vs 88).
IF you serve real-time users and latency is a product KPI  →  choose Muse Spark 1.3 (~70 tok/s, 0.4s TTFT).
IF you are cost-driven at scale on routine, high-volume workloads  →  choose Muse Spark 1.3 ($$1.25/$$4.25 per 1M in/out).
IF long-document recall has to be near-perfect  →  choose Claude Opus 5 (effective context 97 vs 85).
07

Frequently asked questions

Is Claude Opus 5 worth the higher price over Muse Spark 1.3?
At list the input rate is 4.0x higher, but cache discounts and output pricing narrow the effective gap. Pay the premium when Claude Opus 5's stronger dimensions protect revenue; for routine volume Muse Spark 1.3 is the economical pick.
How do costs compare at 100M tokens/month with caching?
At 100M input + 30M output with 90% of inputs cache-hit, Claude Opus 5 is about $845/month and Muse Spark 1.3 about $252/month after cache discounts ($1,250 and $252 at list).
Does the bigger context window actually matter?
Nominal windows are Claude Opus 5 (1M) and Muse Spark 1.3 (256K), but usable recall follows the effective-context score (97 vs 85). Prefer the higher effective-context model for long-document work where nothing can be missed.
Can I self-host either model?
Muse Spark 1.3 ships open weights and can be self-hosted (GPU permitting) for data control; Claude Opus 5 is a closed managed API with no self-hosting. Choose open weights when residency or cost-at-scale dominates, managed API for convenience.
Which one supports fine-tuning?
Muse Spark 1.3 supports fine-tuning; Claude Opus 5 does not at this tier. If you plan to adapt the model to a narrow domain, that is a concrete differentiator.
Which handles multimodal inputs better?
Multimodal scores are 91 (Claude Opus 5) vs 76 (Muse Spark 1.3), with modality coverage text/image versus text/image. Match the model to the input types your product actually receives.