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GLM 5.3 FlashX vs GPT-5.6 Sol Pro

GLM 5.3 FlashX costs 16.0x less per output token than GPT-5.6 Sol Pro ($1.25 vs $20.00 per million). Updated October 21, 2026; no benchmark has tested both models yet.

Replace GLM 5.3 FlashX Replace GPT-5.6 Sol Pro
GLM 5.3 FlashXZ.ai
Coding
No data
Overall
No data
Output $/M
$1.25
GPT-5.6 Sol ProOpenAI
Coding
No data
Overall
No data
Output $/M
$20.00
vs $1.25 vs $20.00 per 1M output tokens. GLM 5.3 FlashX is 16.0x cheaper.

GLM 5.3 FlashX or GPT-5.6 Sol Pro: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick GLM 5.3 FlashX for output tokens 16.0x cheaper ($1.25 vs $20.00 per million).

Model AGLM 5.3 FlashXZ.aiNot benchmarkedNo coding benchmarkNo cost per solved taskModel BGPT-5.6 Sol ProOpenAINot benchmarkedNo coding benchmarkNo cost per solved task

No benchmark has tested both yet. GLM 5.3 FlashX has none yet; GPT-5.6 Sol Pro on WeirdML, APEX-Agents and SimpleBench. Compare them on price and context instead.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
GLM 5.3 FlashX not benchmarked, GPT-5.6 Sol Pro not benchmarked.
Widest category
None yet: no category has been tested on both models.
Widest single gap
None yet: no benchmark has tested both models.
Output price
GLM 5.3 FlashX $1.25 against GPT-5.6 Sol Pro $20.00 per million output tokens, 16.0x apart.
Context window
GLM 5.3 FlashX takes 1.05M tokens, GPT-5.6 Sol Pro 1.05M.

Benchmark by benchmark

Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.

CodingDirectional onlySix of these boards feed the Vibe Coding Index1 board measured
Coding benchmarks for GLM 5.3 FlashX and GPT-5.6 Sol Pro
BenchmarkGLM 5.3 FlashXGPT-5.6 Sol ProLeader
WeirdMLNot measured89.4%Only GPT-5.6 Sol Pro measured
Neither model has a result on the other 38 boards here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Agentic work benchmarks for GLM 5.3 FlashX and GPT-5.6 Sol Pro
BenchmarkGLM 5.3 FlashXGPT-5.6 Sol ProLeader
APEX-AgentsNot measured51.4%Only GPT-5.6 Sol Pro measured
Neither model has a result on the other 40 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Reasoning benchmarks for GLM 5.3 FlashX and GPT-5.6 Sol Pro
BenchmarkGLM 5.3 FlashXGPT-5.6 Sol ProLeader
SimpleBenchNot measured71.7%Only GPT-5.6 Sol Pro measured
Chess puzzlesNot measured68.0%Only GPT-5.6 Sol Pro measured
Neither model has a result on the other 20 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Math benchmarks for GLM 5.3 FlashX and GPT-5.6 Sol Pro
BenchmarkGLM 5.3 FlashXGPT-5.6 Sol ProLeader
FrontierMath, tier 4Not measured80.5%Only GPT-5.6 Sol Pro measured
Neither model has a result on the other 12 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
General benchmarks for GLM 5.3 FlashX and GPT-5.6 Sol Pro
BenchmarkGLM 5.3 FlashXGPT-5.6 Sol ProLeader
DTBenchNot measured96.0%Only GPT-5.6 Sol Pro measured
LMCANot measured59.2%Only GPT-5.6 Sol Pro measured
Neither model has a result on the other 44 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

GLM 5.3 FlashX$0.0010Fits in one request
GPT-5.6 Sol Pro$0.014Fits in one request

GLM 5.3 FlashX costs less

Repository review

50K input + 3K output tokens

GLM 5.3 FlashX$0.022Fits in one request
GPT-5.6 Sol Pro$0.260Fits in one request

GLM 5.3 FlashX costs less

Agent loop

200K input + 10K output tokens

GLM 5.3 FlashX$0.086Fits in one request
GPT-5.6 Sol Pro$1.00Fits in one request

GLM 5.3 FlashX costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of GLM 5.3 FlashX and GPT-5.6 Sol Pro
SpecificationZ.ai GLM 5.3 FlashXOpenAI GPT-5.6 Sol Pro
MakerZ.aiOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 18, 2026July 9, 2026
Context window1.05M1.05M
Input $/Mtok$0.37$4.00
Output $/Mtok$1.25$20.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5.3 FlashX better than GPT-5.6 Sol Pro for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GLM 5.3 FlashX for output tokens 16.0x cheaper ($1.25 vs $20.00 per million).

Which is cheaper, GLM 5.3 FlashX or GPT-5.6 Sol Pro?

GLM 5.3 FlashX costs $0.37 per million input tokens and $1.25 per million output tokens; GPT-5.6 Sol Pro costs $4.00 and $20.00. Cost per solved task is known for neither of them.

Which has the bigger context window, GLM 5.3 FlashX or GPT-5.6 Sol Pro?

GPT-5.6 Sol Pro, with 1.05M tokens against 1.05M.

Has any benchmark tested both GLM 5.3 FlashX and GPT-5.6 Sol Pro?

No benchmark has tested both yet. GLM 5.3 FlashX has none yet; GPT-5.6 Sol Pro on WeirdML, APEX-Agents and SimpleBench. Compare them on price and context instead. Data as of October 21, 2026.

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