Claude Sonnet 4.6 vs GLM 5.3 Flash

At a Glance

Compare
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5#24 of 4660.3 score · 3/3 sources · complete#29 of 4654.6 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 36.4–69.8
CostLower is better · Published-token output estimate#31 of 44$0.198 per LiveBench case#2 of 44$0.0087 per LiveBench case
EfficiencyHigher is better · MM Efficiency v1.5#31 of 3847.3 score · 3/3 sources · complete#1 of 3877.3 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 68.2–84.9
Pricing and Limits
Input priceFrom · USD / 1M tokens$3.00Anthropic · Sep 3, 2026$0.075Z.ai · Aug 29, 2026
Output priceFrom · USD / 1M tokens$15.00Anthropic · Sep 3, 2026$0.25Z.ai · Aug 29, 2026
Context windowMaximum documented tokens1,000K1,000K
Model facts checkedSep 3, 2026View model evidence →Sep 2, 2026View model evidence →

Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →

Available Benchmarks

All benchmark results →
BenchmarkClaude Sonnet 4.6GLM-5.3-Flash
LMArena Agent Arenaagent-2026-09-15-d25aabda0010 · outcome_score · leader-1.5297% of row best · score · Claude Sonnet 4.6; 95% CI [-2.63863180, -0.39612153]; sessions 39452; observations 1444102; rank 311.15100% of row best · score · GLM 5.3 Flash; 95% CI [0.48275443, 1.81278415]; sessions 43164; observations 4433017; rank 25
LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader1,458.2699% of row best · rating · claude-sonnet-4-6; 95% CI [1454.67519650, 1461.85096774]; votes 66208; rank 351,471.89100% of row best · rating · glm-5.3-flash; 95% CI [1465.37026588, 1478.41920488]; votes 10038; rank 24
LMArena Vision Arenavision-2026-09-13-d25aabda0010 · arena_rating · statistical tie1,282.7299% of row best · rating · claude-sonnet-4-6; 95% CI [1276.36460283, 1289.07266013]; votes 25552; rank 271,298.71100% of row best · rating · glm-5.3-flash; 95% CI [1287.06707337, 1310.34654848]; votes 3110; rank 17
LiveBench2026-06-25 · overall · leader77.11100% of row best · percent · claude-sonnet-4-6-thinking-auto-medium-effort · 13,226 output tokens / case73.2795% of row best · percent · glm-5.3-flash · 34,707 output tokens / case
ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified83.6395% of row best · points · Claude Sonnet 4.6 · 18,675 output tokens / case88.19100% of row best · points · GLM-5.3 Flash · 25,960 output tokens / case
Overall ResultCounted from the protocol-matched rows above · 1 tie1 benchmark win2 benchmark winsOverall lead

Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.

Side-by-Side Facts

FieldClaude Sonnet 4.6GLM-5.3-Flash
DeveloperAnthropicZ.ai
FamilyClaude 4Glm 5 3 Flash
ModelClaude Sonnet 4.6GLM-5.3-Flash
VersionClaude Sonnet 4.6GLM-5.3-Flash
Lifecycleactiveactive
Released2026-02-172026-09-02
Knowledge cutoff2025-08-01Unknown
Input modalitiesText, ImageText, Image, Video, Document
Output modalitiesTextText
Context window1,000K1,000K
Total parametersUnknown320B
Active parametersUnknown18B
LicenseUnknownMIT
Open weightsNoYes
API availableYesYes
Self-hostableNoYes
Provider accessAnthropic (Standard), Deepinfra (Standard)Deepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard), Z.ai (Standard)
Capabilitieschat, generation, reasoning, structured_outputs, toolsagents, chat, computer-use, reasoning, structured_outputs, tools, vision

Claude Sonnet 4.6 Capabilities

chatgenerationreasoningstructured outputstools
Serving providers2
Canonical IDanthropic/claude-sonnet-4-6

GLM 5.3 Flash Capabilities

agentschatcomputer-usereasoningstructured outputstoolsvision
Serving providers4
Canonical IDzai-org/glm-5.3-flash

Primary Evidence

Sources and Freshness

Questions

Claude Sonnet 4.6 vs GLM 5.3 Flash FAQs

Is Claude Sonnet 4.6 or GLM 5.3 Flash better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Claude Sonnet 4.6 and GLM 5.3 Flash, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Claude Sonnet 4.6 or GLM 5.3 Flash?+

Claude Sonnet 4.6 is $3.00 and GLM 5.3 Flash is $0.075 per million tokens, so GLM 5.3 Flash is cheaper on this metric. Claude Sonnet 4.6 is $15.00 and GLM 5.3 Flash is $0.25 per million tokens, so GLM 5.3 Flash is cheaper on this metric.

Which has a larger context window, Claude Sonnet 4.6 or GLM 5.3 Flash?+

Neither model has a larger sourced context window in this comparison. Claude Sonnet 4.6 is 1,000K and GLM 5.3 Flash is 1,000K.

Which performs better in benchmarks, Claude Sonnet 4.6 or GLM 5.3 Flash?+

GLM 5.3 Flash leads the current overall benchmark count. The result uses 4 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.

Can Claude Sonnet 4.6 or GLM 5.3 Flash be self-hosted?+

GLM 5.3 Flash is the only model in this pair currently marked as self-hostable. Claude Sonnet 4.6 is not marked open weight; GLM 5.3 Flash is open weight.

Can Claude Sonnet 4.6 and GLM 5.3 Flash understand images?+

Claude Sonnet 4.6 is documented with image input; GLM 5.3 Flash is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Claude Sonnet 4.6 or GLM 5.3 Flash?+

GLM 5.3 Flash has the larger sourced maximum output: Claude Sonnet 4.6 supports 128K and GLM 5.3 Flash supports 131K output tokens.

Do Claude Sonnet 4.6 and GLM 5.3 Flash support reasoning and tool use?+

Claude Sonnet 4.6: reasoning, tool calling, and image input. GLM 5.3 Flash: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Claude Sonnet 4.6 or GLM 5.3 Flash?+

Claude Sonnet 4.6 has 2 sourced provider routes; GLM 5.3 Flash has 4, so GLM 5.3 Flash has broader tracked availability.

Which offers better value, Claude Sonnet 4.6 or GLM 5.3 Flash?+

There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.

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