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GPT-3.5 Turbo 16k vs Qwen3.8 2.4T A95B

GPT-3.5 Turbo 16k costs 1.5x less per output token than Qwen3.8 2.4T A95B ($4.00 vs $6.00 per million). Updated October 23, 2026; no benchmark has tested both models yet.

Replace GPT-3.5 Turbo 16k Replace Qwen3.8 2.4T A95B
GPT-3.5 Turbo 16kOpenAI
Coding
No data
Overall
No data
Output $/M
$4.00
Qwen3.8 2.4T A95BQwen
Coding
No data
Overall
No data
Output $/M
$6.00
vs $4.00 vs $6.00 per 1M output tokens. GPT-3.5 Turbo 16k is 1.5x cheaper.

GPT-3.5 Turbo 16k or Qwen3.8 2.4T A95B: which to pick

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

Pick GPT-3.5 Turbo 16k for output tokens 1.5x cheaper ($4.00 vs $6.00 per million).

Model AGPT-3.5 Turbo 16kOpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BQwen3.8 2.4T A95BQwenNot benchmarkedNo coding benchmarkNo cost per solved task

No benchmark has tested both yet. GPT-3.5 Turbo 16k has none yet; Qwen3.8 2.4T A95B on AA Coding Index, SciCode and AA Intelligence Index. 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
GPT-3.5 Turbo 16k not benchmarked, Qwen3.8 2.4T A95B 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
GPT-3.5 Turbo 16k $4.00 against Qwen3.8 2.4T A95B $6.00 per million output tokens, 1.5x apart.
Context window
GPT-3.5 Turbo 16k takes 16K tokens, Qwen3.8 2.4T A95B 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 Index2 boards measured
Coding benchmarks for GPT-3.5 Turbo 16k and Qwen3.8 2.4T A95B
BenchmarkGPT-3.5 Turbo 16kQwen3.8 2.4T A95BLeader
AA Coding IndexNot measured71.9Only Qwen3.8 2.4T A95B measured
SciCodeNot measured54.1%Only Qwen3.8 2.4T A95B measured
Neither model has a result on the other 41 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Intelligence benchmarks for GPT-3.5 Turbo 16k and Qwen3.8 2.4T A95B
BenchmarkGPT-3.5 Turbo 16kQwen3.8 2.4T A95BLeader
AA Intelligence IndexNot measured39.9Only Qwen3.8 2.4T A95B measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Agentic work benchmarks for GPT-3.5 Turbo 16k and Qwen3.8 2.4T A95B
BenchmarkGPT-3.5 Turbo 16kQwen3.8 2.4T A95BLeader
AA Agentic IndexNot measured50.1Only Qwen3.8 2.4T A95B measured
MCP AtlasNot measured84.5%Only Qwen3.8 2.4T A95B 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 GPT-3.5 Turbo 16k and Qwen3.8 2.4T A95B
BenchmarkGPT-3.5 Turbo 16kQwen3.8 2.4T A95BLeader
GPQA Diamond (Artificial Analysis run)Not measured93.5%Only Qwen3.8 2.4T A95B measured
Humanity's Last Exam (Artificial Analysis run)Not measured42.4%Only Qwen3.8 2.4T A95B measured
Neither model has a result on the other 21 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Math benchmarks for GPT-3.5 Turbo 16k and Qwen3.8 2.4T A95B
BenchmarkGPT-3.5 Turbo 16kQwen3.8 2.4T A95BLeader
MathArenaNot measured31.6%Only Qwen3.8 2.4T A95B measured
Neither model has a result on the other 13 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
General benchmarks for GPT-3.5 Turbo 16k and Qwen3.8 2.4T A95B
BenchmarkGPT-3.5 Turbo 16kQwen3.8 2.4T A95BLeader
Long context reasoning (AA-LCR)Not measured80.3%Only Qwen3.8 2.4T A95B measured
Neither model has a result on the other 47 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

GPT-3.5 Turbo 16k$0.0050Fits in one request
Qwen3.8 2.4T A95B$0.0050Fits in one request

Same cost

Repository review

50K input + 3K output tokens

GPT-3.5 Turbo 16k$0.162Exceeds the context window
Qwen3.8 2.4T A95B$0.118Fits in one request

Qwen3.8 2.4T A95B costs less

Agent loop

200K input + 10K output tokens

GPT-3.5 Turbo 16k$0.640Exceeds the context window
Qwen3.8 2.4T A95B$0.460Fits in one request

Qwen3.8 2.4T A95B 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 GPT-3.5 Turbo 16k and Qwen3.8 2.4T A95B
SpecificationOpenAI GPT-3.5 Turbo 16kQwen3.8 2.4T A95B
MakerOpenAIQwen
WeightsNo public weights listedOpen weights
ReleasedAugust 28, 2023August 12, 2026
Context window16K1.05M
Input $/Mtok$3.00$2.00
Output $/Mtok$4.00$6.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-3.5 Turbo 16k better than Qwen3.8 2.4T A95B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-3.5 Turbo 16k for output tokens 1.5x cheaper ($4.00 vs $6.00 per million).

Which is cheaper, GPT-3.5 Turbo 16k or Qwen3.8 2.4T A95B?

GPT-3.5 Turbo 16k costs $3.00 per million input tokens and $4.00 per million output tokens; Qwen3.8 2.4T A95B costs $2.00 and $6.00. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-3.5 Turbo 16k or Qwen3.8 2.4T A95B?

Qwen3.8 2.4T A95B, with 1.05M tokens against 16K.

Has any benchmark tested both GPT-3.5 Turbo 16k and Qwen3.8 2.4T A95B?

No benchmark has tested both yet. GPT-3.5 Turbo 16k has none yet; Qwen3.8 2.4T A95B on AA Coding Index, SciCode and AA Intelligence Index. Compare them on price and context instead. Data as of October 23, 2026.

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